forked from nasa/Open-Source-Catalog
-
Notifications
You must be signed in to change notification settings - Fork 0
/
catalog.json
8771 lines (8771 loc) · 368 KB
/
catalog.json
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
[
{
"NASA Center": "Headquarters",
"Contributors": ["[email protected]", "[email protected]"],
"Software": "APOD API",
"External Link": "https://github.com/nasa/apod-api",
"Public Code Repo": "https://github.com/nasa/apod-api",
"Description": "Astronomy Picture of the Day API service. A microservice written in Python which may be run on Google App Engine with the Flask micro framework.",
"License": ["ALv2"],
"Categories": ["API", "Images"],
"Update_Date": "2017-07-07"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["indranilroychoudhury", "matthewjdaigle"],
"Software": "Virtual ADAPT",
"External Link": "https://github.com/nasa/VirtualADAPT",
"Public Code Repo": "https://github.com/nasa/VirtualADAPT",
"Description": "VirtualADAPT is a high-fidelity, Matlab Simulink-based simulation testbed that emulates the Advanced Diagnostic and Prognostic Testbed (ADAPT) electrical power system hardware for running offline health management experiments. This simulation testbed models all components of the ADAPT hardware within the power storage and power distribution subsystems. The physical components of the testbed, i.e., the batteries, relays, and the loads, are replaced by simulation modules that generate the same dynamic behaviors as the hardware test bed.",
"License": ["NASA Open Source"],
"Categories": ["Electrical Power System", "Simulation"],
"Update_Date": "2017-10-10"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "Viewpoints: Software for Visualization of Multivariate Data",
"External Link": "https://app.assembla.com/spaces/viewpoints/wiki/Home",
"Public Code Repo": "https://app.assembla.com/spaces/viewpoints/documents",
"Description": "Viewpoints (vp) is a visualization tool for exploring large, multidimensional data. It enables rapid interactive analysis of data sets containing >> 106 samples, limited only by available RAM, with an arbitrary number of attributes (or dimensions) per sample. Viewpoints was originaly created for analyzing data sets from current and upcoming NASA space science missions but it has now been used in areas ranging from aeronautical engineering, quantum chemistry, and computational fluid dynamics to virology, finance, aviation safety, and web server log mining.",
"License": ["NASA Open Source"],
"Categories": ["visualization"],
"Update_Date": "2011-12-02"
},
{
"NASA Center": "Jet Propulsion Laboratory",
"Contributors": ["Brian Rheingans", "Jason Matthews", "Charles Thompson", "Sebastian Val"],
"Software": "MISR Toolkit",
"External Link": "http://misr.jpl.nasa.gov/",
"Public Code Repo": "https://github.com/nasa/MISR-Toolkit",
"Description": "The MISR Toolkit is a simplified programming interface to access MISR L1B2, L2 conventional and ancillary data products. It is an interface built upon HDF-EOS that knows about MISR data products.",
"License": ["NASA Open Source"],
"Categories": ["Toolkit", "Visualization", "Analysis", "Earth Science"],
"Update_Date": "2016-09-07"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["Andrew Bergan", "Frank Leone"],
"Software": "Abaverify",
"External Link": "https://github.com/nasa/Abaverify",
"Public Code Repo": "https://github.com/nasa/Abaverify",
"Description": "A python package built on unittest for running verification tests on Abaqus user subroutines.",
"License": ["NASA Open Source"],
"Categories": ["FEA", "Abaqus", "User Subroutines", "Unit Tests", "Integration Tests", "Fortran"],
"Update_Date": "2016-10-03"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["hpparvi"],
"Software": "PyTransit",
"External Link": "https://github.com/mrtommyb/ktransit",
"Public Code Repo": "https://github.com/mrtommyb/ktransit",
"Description": "Fast and easy-to-use tools for exoplanet transit light curve modelling with Python. PyTransit implements the quadratic Mandel & Agol and the Gimenéz transit models with various optimisations, and offers both a simple interface for model evaluation and a lower-level access for fine-tuning the model.",
"License": ["GPLv3"],
"Categories": ["Kepler"],
"Update_Date": "2013-12-02"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "ktransit",
"External Link": "https://github.com/mrtommyb/ktransit",
"Public Code Repo": "https://github.com/mrtommyb/ktransit",
"Description": "This python package contains routines to create and/or fit a transiting planet model. The underlying model is a Fortran implementation of the Mandel & Agol (2002) limb darkened transit model. The code will calculate a full orbital model and eccentricity can be allowed to vary.",
"License": ["GPLv3"],
"Categories": ["Kepler"],
"Update_Date": "2015-12-12"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["dfm"],
"Software": "kplr",
"External Link": "http://dan.iel.fm/kplr/",
"Public Code Repo": "https://github.com/dfm/kplr",
"Description": "kplr provides a lightweight Pythonic interface to the catalogs and data. Below, I’ll describe the features provided by kplr but to get things started, let’s see an example of how you would go about finding the published parameters of a KOI and download the light curve data.",
"License": ["MIT"],
"Categories": ["Kepler"],
"Update_Date": "2015-05-26"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["dfm"],
"Software": "ketu",
"External Link": "https://github.com/dfm/ketu",
"Public Code Repo": "https://github.com/dfm/ketu",
"Description": "The search for transiting exoplanets in K2 data.",
"License": ["MIT"],
"Categories": ["Kepler"],
"Update_Date": "2015-05-26"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["benjaminpope", "hpparvi"],
"Software": "k2ps",
"External Link": "https://github.com/hpparvi/k2ps",
"Public Code Repo": "https://github.com/hpparvi/k2ps",
"Description": "Oxford K2 planet search pipeline. Searches for transit-like signals from the k2sc-detrended light curves.",
"License": ["MIT"],
"Categories": ["Kepler"],
"Update_Date": "2016-06-10"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["rodluger"],
"Software": "everest",
"External Link": "http://staff.washington.edu/rodluger/everest_docs/",
"Public Code Repo": "https://github.com/rodluger/everest",
"Description": "EPIC Variability Extraction and Removal for Exoplanet Science Targets: A pipeline for de-trending K2 light curves with pixel level decorrelation and Gaussian processes. Here you'll find the Python code used to generate the EVEREST catalog, as well as tools for accessing and interacting with the de-trended light curves.",
"License": ["MIT"],
"Categories": ["Kepler"],
"Update_Date": "2015-11-24"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "K2mosaic",
"External Link": "https://github.com/barentsen/k2mosaic",
"Public Code Repo": "https://github.com/barentsen/k2mosaic",
"Description": "K2mosaic is a command-line tool that makes it easy to combine CCD pixel data obtained by NASA's Kepler space telescope into wide-field images. The need for this tool arises from the fact that the two-wheeled extended Kepler mission, K2, observed large clusters and moving targets (e.g. planets, comets, and asteroids). ",
"License": ["MIT"],
"Categories": ["Kepler"],
"Update_Date": "2015-11-24"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "kadenza",
"External Link": "https://github.com/KeplerGO/kadenza",
"Public Code Repo": "https://github.com/KeplerGO/kadenza",
"Description": "Converts raw cadence target data from the Kepler space telescope into astronomer-friendly FITS files.",
"License": ["MIT"],
"Categories": ["Kepler"],
"Update_Date": "2015-11-24"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "K2ephem",
"External Link": "https://keplerscience.arc.nasa.gov/software.html#k2ephem",
"Public Code Repo": "https://github.com/KeplerGO/K2ephem",
"Description": "Command-line tool to check whether a Solar System body is (or was) observable by NASA's K2 mission",
"License": ["MIT"],
"Categories": ["Kepler"],
"Update_Date": "2015-11-24"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "K2fov",
"External Link": "https://keplerscience.arc.nasa.gov/software.html#k2fov",
"Public Code Repo": "https://github.com/KeplerGO/K2fov",
"Description": "The K2fov Python package allows users to check whether a target is in the field of view of K2. In particular, the package adds the K2onSilicon and K2findCampaigns tools to the command line, which allow the visibility of targets to be checked during one (K2onSilicon) or all (K2findCampaigns) campaigns, respectively.",
"License": ["MIT"],
"Categories": ["Kepler"],
"Update_Date": "2014-02-07"
},
{
"NASA Center": "",
"Contributors": ["[email protected]"],
"Software": "Apollo-11",
"External Link": "https://github.com/chrislgarry/Apollo-11",
"Public Code Repo": "https://github.com/chrislgarry/Apollo-11",
"Description": "Original Apollo 11 guidance computer (AGC) source code for Command Module (Comanche055) and Lunar Module (Luminary099)",
"License": [],
"Categories": ["Apollo", "guidance computer", "AGC"],
"Update_Date": "2016-07-23"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["[email protected]"],
"Software": "Data_Cube_v2",
"External Link": "https://github.com/ceos-seo/Data_Cube_v2",
"Public Code Repo": "https://github.com/ceos-seo/Data_Cube_v2",
"Description": "The CEOS Data Cube Platform provides a flexible model to address these needs. The CEOS Data Cube Platform is a data processing platform for Earth science data, with a focus on remote-sensing data.",
"License": ["ALv2"],
"Categories": ["Data cube", "ceos-seo"],
"Update_Date": "2016-06-20"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["mrb364", "Jwely"],
"Software": "M-SRM",
"External Link": "https://github.com/NASA-DEVELOP/METRIC",
"Public Code Repo": "https://github.com/NASA-DEVELOP/METRIC",
"Description": "Modified Snowmelt Runoff model for forecasting snowmelt in central northern Chile.",
"License": ["NASA Open Source"],
"Categories": ["Snowmelt Runoff model", "NASA-DEVELOP"],
"Update_Date": "2015-03-04"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["mrb364", "Jwely"],
"Software": "METRIC",
"External Link": "https://github.com/NASA-DEVELOP/METRIC",
"Public Code Repo": "https://github.com/NASA-DEVELOP/METRIC",
"Description": "METRIC was developed for estimating evapotranspiration from landsat imagery and weather station data. It includes a short tutorial on the download method of properly formatted weather data. The easiest way to interface with the METRIC model is to add the python toolbox file \"pyt\" in arcmap and follow the user prompts.",
"License": ["NASA Open Source"],
"Categories": ["evapotranspiration", "landsat imagery", "NASA-DEVELOP"],
"Update_Date": "2015-09-21"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["mrb364", "Jwely", "vickiely", "Smewhen"],
"Software": "DSAT",
"External Link": "https://github.com/NASA-DEVELOP/DSAT",
"Public Code Repo": "https://github.com/NASA-DEVELOP/DSAT",
"Description": "Drought Severity Assessment Tool (formerly Drought Severity Assessment - Decision Support Tool)",
"License": ["NASA Open Source"],
"Categories": ["Drought", "water resources", "NASA-DEVELOP"],
"Update_Date": "2016-06-16"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["mrb364", "Jwely"],
"Software": "LaSTMoV",
"External Link": "https://github.com/NASA-DEVELOP/LaSTMoV",
"Public Code Repo": "https://github.com/NASA-DEVELOP/LaSTMoV",
"Description": "Land Surface Temperature MODIS Visualization (LaSTMoV). Used to create heat vulnerability maps for Maricopa County using MYD11A1 V005 data.",
"License": ["NASA Open Source"],
"Categories": ["Land Surface Temperature", "MODIS", "Visualization", "NASA-DEVELOP"],
"Update_Date": "2016-08-01"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "DRIP - SLIP",
"External Link": "https://github.com/NASA-DEVELOP/DRIP-SLIP",
"Public Code Repo": "https://github.com/NASA-DEVELOP/DRIP-SLIP",
"Description": "Landslide identification and extreme precipitation monitoring software. Detect spectral changes from Landsat imagery that may indicate landslides in Nepal.",
"License": ["NASA Open Source"],
"Categories": ["landslide", "precipitation monitoring", "LANDSAT", "NASA-DEVELOP"],
"Update_Date": "2016-06-24"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["Jwely"],
"Software": "dnppy",
"External Link": "https://nasa-develop.github.io/dnppy/",
"Public Code Repo": "https://github.com/NASA-DEVELOP/dnppy",
"Description": "DEVELOP National Program Python package for use with NASA data and GIS. dnppy is a collection of functions and classes for download, format, and analysis of NASA satelite data and anciliary NOAA datasets",
"License": ["NASA Open Source"],
"Categories": ["GIS", "NOAA", "satellite DATA"],
"Update_Date": "2015-01-15"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["[email protected]"],
"Software": "CERES/ARM Validation Experiment (CAVE)",
"External Link": "http://www-cave.larc.nasa.gov/index.html",
"Public Code Repo": "http://www-cave.larc.nasa.gov/LFLcode/Ed4_LaRC_FuLiou201501.tar.gz",
"Description": "Data collected in the CAVE effort are meant for use in validation studies of Clouds & The Earths Radiant Energy System (CERES) instruments operating on the Suomi NPP and Earth Observing Systems(EOS)Terra & Aqua & Tropical Rainfall Measurement Mission (TRMM) satellites.",
"License": ["NASA Open Source"],
"Categories": ["validation", "CERES", "ARM"],
"Update_Date": "2014-09-05"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Memory Manager",
"External Link": "https://sourceforge.net/projects/cfs-mm/",
"Public Code Repo": "https://sourceforge.net/p/cfs-mm/code/ref/master/",
"Description": "The Memory Manager application (MM) is a core Flight System (cFS) application that is a plug in to the Core Flight Executive (cFE) component of the cFS. ",
"License": ["NASA Open Source"],
"Categories": ["CFE", "CFS", "Core Flight System", "memory management"],
"Update_Date": "2015-02-27"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Landslide Hazard Assessment for Situational Awareness (LHASA)",
"External Link": "http://ojo-streamer.herokuapp.com/",
"Public Code Repo": "https://github.com/vightel/ojo-processing",
"Description": "Training materials on how to generate various products from NASA sources (and others) and store them on the cloud (AWS S3). Use the Open GeoSocial API for data distribution, visualization, discovery and sharing via social networks",
"License": ["ALv2"],
"Categories": ["earth sciences", "landslides"],
"Update_Date": "2015-03-04"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "OJO Bot",
"External Link": "https://github.com/vightel/ojo-bot",
"Public Code Repo": "https://github.com/vightel/ojo-bot",
"Description": "This is a prototype data processor/publisher for NASA.",
"License": ["ALv2"],
"Categories": ["earth sciences", "landslides"],
"Update_Date": "2015-03-04"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "42",
"External Link": "http://disc.sci.gsfc.nasa.gov/additional/techlab/s4pa",
"Public Code Repo": "http://disc.sci.gsfc.nasa.gov/additional/techlab/s4pa",
"Description": "Simulation for spacecraft attitude control system analysis and design",
"License": ["NASA Open Source"],
"Categories": ["simulator", "attitude control", "orbital dynamics"],
"Update_Date": "2015-03-04"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Simple, Scalable, Script-based Science Processing Archive (S4PA)",
"External Link": "http://disc.sci.gsfc.nasa.gov/additional/techlab/s4pa",
"Public Code Repo": "http://disc.sci.gsfc.nasa.gov/additional/techlab/s4pa",
"Description": "The Simple, Scalable, Script-Based, Science Product Archive (S4PA) is a radically simplified data archive architecture for supporting our GES DISC users with online access to data. S4PA is already being used operationally and its deployment will beexpanded in the months and years to come.",
"License": ["NASA Open Source"],
"Categories": ["data archive", "GES"],
"Update_Date": "2011-01-13"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "PSYCO: A Predicate-based Symbolic Compositional Reasoning environment",
"External Link": "https://ti.arc.nasa.gov/m/groups/rse/papers/Giannakopoulou-CAV12.pdf",
"Public Code Repo": "https://github.com/psycopaths/psyco",
"Description": "jpf-psyco generates symbolic interfaces for software components using concolic execution.",
"License": ["ALv2"],
"Categories": ["symbolic learning", "temporal interfaces", "component methods"],
"Update_Date": "2015-09-17"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "Restriping Tools for Lustre (Retools)",
"External Link": "https://pkolano.github.io/projects/retools.html",
"Public Code Repo": "https://github.com/pkolano/retools",
"Description": "Retools is a set of modifications to the commonly used open source utilities bzip2, gzip, rsync, and tar that automatically selects the Lustre stripe count for created and/or extracted files according to the sizes of the files involved. By striping large files over a higher number of physical disks and small files over a lower number, aggregate I/O bandwidth for large files is maximized and the impact to the file system due to small files is minimized. These tools support the typical workflow in high performance computing environments where users compress large files and/or aggregate multiple small files into a single archive during remote transfers. Once uncompressed/unarchived into their original form, these files will be optimally striped for subsequent operations.",
"License": ["NASA Open Source"],
"Categories": ["utility", "disk striping", "Lustre file systems"],
"Update_Date": "2014-01-28"
},
{
"NASA Center": "Ames Research Center",
"Contributors": [
"oleg-alexandrov",
"ScottMcMichael",
"broxtronix",
"novas0x2a",
"khusmann",
"ljexplore",
"anefian",
"SmithB",
"dshean",
"trey0",
"mstyer",
"rbeyer",
"harguess",
"saravkin",
"jlaura"
],
"Software": "Neo-Geography Toolkit (NGT)",
"External Link": "https://ti.arc.nasa.gov/tech/asr/intelligent-robotics/ngt/stereo/",
"Public Code Repo": "https://github.com/neogeographytoolkit/stereopipeline",
"Description": "The NASA Ames Stereo Pipeline (ASP) is a suite of free and open source automated geodesy and stereogrammetry tools designed for processing stereo imagery captured from satellites (around Earth and other planets), robotic rovers, aerial cameras, and historical imagery, with and without accurate camera pose information. It produces cartographic products, including digital elevation models (DEMs), ortho-projected imagery, 3D models, and bundle-adjusted networks of cameras. ASP's data products are suitable for science analysis, mission planning, and public outreach.",
"License": ["ALv2"],
"Categories": ["geodesy", "stereogrammetry", "tools", "satellites imagery"],
"Update_Date": "2012-05-11"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "Visual Environment for Remote Virtual Exploration (VERVE)",
"External Link": "https://sourceforge.net/p/irg-verve/wiki/VERVE%20Wiki%20Home/",
"Public Code Repo": "https://sourceforge.net/p/irg-verve/code/",
"Description": "VERVE (Visual Environment for Remote Virtual Exploration) is a collection of software components for visualizing, monitoring, and commanding robots in remote environments. VERVE is developed by the Intelligent Robotics Group at NASA Ames Research Center and is part of the NASA Ensemble software ecosystem.",
"License": ["ALv2"],
"Categories": ["virtual environment", "robots"],
"Update_Date": "2011-09-16"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "Multi-Threaded/Multi-Node Utilities (Mutil)",
"External Link": "https://pkolano.github.io/projects/mutil.html",
"Public Code Repo": "https://github.com/pkolano/mutil",
"Description": "Copies between local file systems are a daily activity. Files are constantly being moved to locations accessible by systems with different functions and/or storage limits, being backed up and restored, or being moved due to upgraded and/or replaced hardware. Hence, maximizing the performance of copies as well as checksums that ensure the integrity of copies is desirable to minimize the turnaround time of user and administrator activities. Modern parallel file systems provide very high performance for such operations using a variety of techniques such as striping files across multiple disks to increase aggregate I/O bandwidth and spreading disks across multiple servers to increase aggregate interconnect bandwidth.",
"License": ["LGPL"],
"Categories": ["system administration", "file copying"],
"Update_Date": "2010-09-27"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "Symbolic PathFinder (SPF)",
"External Link": "http://babelfish.arc.nasa.gov/trac/jpf/wiki/projects/jpf-symbc",
"Public Code Repo": "http://babelfish.arc.nasa.gov/hg/jpf/jpf-symbc",
"Description": "Symbolic PathFinder (SPF) combines symbolic execution with model checking and constraint solving for test case generation. In this tool, programs are executed on symbolic inputs representing multiple concrete inputs. Values of variables are represented as numeric constraints, generated from analysis of the code structure. These constraints are then solved to generate test inputs guaranteed to reach that part of code. Essentially SPF performs symbolic execution for Java programs at the bytecode level. Symbolic PathFinder uses the analysis engine of the Ames JPF model checking tool (i.e. jpf-core).",
"License": ["NASA Open Source"],
"Categories": ["symbolic execution", "model checking", "constraint solving", "Java"],
"Update_Date": "2015-02-27"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "nu-Anomica",
"External Link": "https://ti.arc.nasa.gov/opensource/projects/nu-anomica/",
"Public Code Repo": "https://ti.arc.nasa.gov/opensource/projects/nu-anomica/",
"Description": "One-class nu-Support Vector machine (SVMs) learning technique maps the input data into a much higher dimensional space and then uses a small portion of the training data (support vectors) to parametrize the decision surface that can linearly separate nu fraction of training points (labeled as anomalies) from the rest.",
"License": ["NASA Open Source"],
"Categories": ["SVM", "Support Vector Machine"],
"Update_Date": "2009-11-06"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "RACE - Runtime for Airspace Concept Evaluation",
"External Link": "https://github.com/NASARace/race/blob/master/README.md",
"Public Code Repo": "https://github.com/NASARace/race",
"Description": "The Runtime for Airspace Concept Evaluation (RACE) is a software architecture and framework to build configurable, highly concurrent and distributed message based systems. Among other things, RACE can be used to rapidly build simulations that span several machines (including synchronized displays), interface existing hardware simulators and other live data feeds, and incorporate sophisticated visualization components such as NASA’s WorldWind viewer.",
"License": ["ALv2"],
"Categories": ["Airspace Simulation"],
"Update_Date": "2016-04-26"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "Inverse Reinforcement Learning (IRL) Augmentation for PyMDPToolbox",
"External Link": "https://github.com/nasa/pymdptoolbox",
"Public Code Repo": "https://github.com/nasa/pymdptoolbox",
"Description": "The MDP toolbox for Python by Sam Cordwell provides classes and functions for the resolution of descrete-time Markov Decision Processes. The list of algorithms that have been implemented includes backwards induction, linear programming, policy iteration, q-learning and value iteration along with several variations.",
"License": ["NASA Open Source"],
"Categories": ["Markov Decision Process", "MDP", "Decision Making", "IRL"],
"Update_Date": "2015-02-27"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "xGDS",
"External Link": "https://ti.arc.nasa.gov/tech/asr/intelligent-robotics/xgds/",
"Public Code Repo": "https://ti.arc.nasa.gov/tech/asr/intelligent-robotics/xgds/",
"Description": "xGDS (Exploration Ground Data Systems) synthesizes real world data (from sensors, robots, ROVs, mobile devices, etc) and human observations into rich, digital maps and displays for analysis, decision making, and collaboration. xGDS evolved from our work developing tools to control, monitor and collect data from autonomous rovers supporting NASA's terrestrial field science research. xGDS is a highly collaborative, interactive suite of web software.",
"License": ["ALv2"],
"Categories": ["Ground Data Systems", "Maps", "Decision Making"],
"Update_Date": "2015-02-27"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["[email protected]"],
"Software": "PRECiSA",
"External Link": "http://precisa.nianet.org",
"Public Code Repo": "http://github.com/nasa/PRECiSA",
"Description": "PRECiSA is a fully automatic analyzer for the estimation of round-off errors of floating-point valued functional expressions. ",
"License": ["NASA Open Source"],
"Categories": ["PVS", "Floating-point Round-off Errors", "Static Analysis"],
"Update_Date": "2017-02-15"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["[email protected]"],
"Software": "ICAROUS",
"External Link": "https://shemesh.larc.nasa.gov/fm/ICAROUS/",
"Public Code Repo": "http://github.com/nasa/icarous",
"Description": "ICAROUS is a software architecture that enables the robust integration of mission specific software modules and highly assured core software modules for building safety-centric autonomous unmanned aircraft applications.",
"License": ["NASA Open Source"],
"Categories": ["UAS", "Geofencing", "Detect and Avoid"],
"Update_Date": "2016-08-19"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["[email protected]"],
"Software": "PolyCARP",
"External Link": "https://shemesh.larc.nasa.gov/fm/PolyCARP",
"Public Code Repo": "http://github.com/nasa/polycarp",
"Description": "PolyCARP is a package of algorithms, including both their formal models and software implementations, for computing containment, collision, resolution, and recovery information for polygons. The intended applications of PolyCARP are related, but not limited, to safety critical systems in air traffic management.",
"License": ["NASA Open Source"],
"Categories": ["UAV", "Geofencing"],
"Update_Date": "2016-09-14"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["[email protected]"],
"Software": "Kodiak",
"External Link": "https://shemesh.larc.nasa.gov/fm/Kodiak/",
"Public Code Repo": "http://github.com/nasa/kodiak",
"Description": "Kodiak is a C++ library that implements a generic branch and bound algorithm for rigorous numerical approximations. Particular instances of the branch and bound algorithm allow the user to refine and isolate solutions to systems of nonlinear equations and inequalities, global optimization problems, and bifurcation sets for systems of ODEs. Kodiak utilizes interval arithmetic (via the filib++ library) and Bernstein enclosure (for polynomials and rational functions) as self-validating enclosure methods. Symbolic operations support procedures such as automatic partial differentiation.",
"License": ["NASA Open Source"],
"Categories": [
"Global Optimization", "Rigurous Polynomial Approximations", "Interval Arithmetic", "Non-linear Arithmetic"
],
"Update_Date": "2014-05-02"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["[email protected]"],
"Software": "DAIDALUS",
"External Link": "https://shemesh.larc.nasa.gov/fm/DAIDALUS/",
"Public Code Repo": "http://github.com/nasa/wellclear",
"Description": "DAIDALUS is a reference implementation of a detect and avoid concept intended to support the integration of Unmanned Aircraft Systems into civil airspace. The WellClear repository includes definitions in Matlab of a family of well-clear violation volumes.",
"License": ["NASA Open Source"],
"Categories": ["UAS", "Detect and Avoid", "Well-Clear"],
"Update_Date": "2014-04-23"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["matthewjdaigle"],
"Software": "Prognostics Algorithm Library",
"External Link": "https://github.com/nasa/PrognosticsAlgorithmLibrary/wiki",
"Public Code Repo": "https://github.com/nasa/PrognosticsAlgorithmLibrary",
"Description": "The Prognostics Algorithm Library is a suite of algorithms implemented in the MATLAB programming language for model-based prognostics (remaining life computation). It includes algorithms for state estimation and prediction, including uncertainty propagation. The algorithms take as inputs component models developed in Matlab, and perform estimation and prediction functions. The library allows the rapid development of prognostics solutions for given models of components and systems. Different algorithms can be easily swapped to do comparative studies and evaluations of different algorithms to select the best for the application at hand.",
"License": ["NASA Open Source"],
"Categories": ["Framework", "Toolbox", "Prognostics", "PHM", "Health Management"],
"Update_Date": "2016-08-18"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["matthewjdaigle"],
"Software": "Prognostics Model Library",
"External Link": "https://github.com/nasa/PrognosticsModelLibrary/wiki",
"Public Code Repo": "https://github.com/nasa/PrognosticsModelLibrary",
"Description": "The Prognostics Model Library is a modeling framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of prognostics models for select components developed within this framework, suitable for use in prognostics applications for these components. The library currently includes models for valves, pumps, and batteries. The Prognostics Model Library is implemented in MATLAB. The implementation consists of a set of utilities for defining a model (specifying variables, parameters, and equations), simulating the model, and embedding it within common model-based prognostics algorithms. A user can use existing models within the library or construct new models with the provided framework.",
"License": ["NASA Open Source"],
"Categories": ["Framework", "Toolbox", "Prognostics", "PHM", "Health Management"],
"Update_Date": "2016-08-18"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["Jeff Mulligan"],
"Software": "QuIP - Quick Image Processing",
"External Link": "https://github.com/nasa/QuIP/wiki",
"Public Code Repo": "https://github.com/nasa/QuIP",
"Description": "QuIP provides an interactive environment for computing and presenting images and image sequences, manipulating and storing arbitrary data, and general scientific computing and plotting. The current release supports unix-like operating systems (tested on Linux and Mac OSX), and Apple's iOS mobile operating system. GPU acceleration is supported with either CUDA or OpenCL. There is built-in support for psychophysical experimentation, with general-purpose staircase routines and analysis of psychometric functions.",
"License": ["NASA Open Source"],
"Categories": [
"Image Processing", "Graphics", "Visualization", "Psychophysics", "Analysis", "Mobile", "Toolkit", "Simulation",
"Framework"
],
"Update_Date": "2016-04-18"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Worldview Options Eosdis",
"External Link": "https://github.com/nasa-gibs/worldview-options-eosdis",
"Public Code Repo": "https://github.com/nasa-gibs/worldview-options-eosdis",
"Description": "This repository contains the configuration used by Worldview on the Earthdata site. See the Worldview repository for more information. This code was originally developed at NASA/Goddard Space Flight Center for the Earth Science Data and Information System (ESDIS) project.",
"License": ["NASA Open Source"],
"Categories": [
"worldview", "earth data science", "eosdis", "Tiled WMS", "global imagery browse services", "gibs", "branding",
"onearth"
],
"Update_Date": "2016-02-29"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Worldview Design",
"External Link": "https://github.com/nasa-gibs/worldview-design",
"Public Code Repo": "https://github.com/nasa-gibs/worldview-design",
"Description": "This repository contains the wireframes and designs for NASA Worldview. This code was originally developed at NASA/Goddard Space Flight Center for the Earth Science Data and Information System (ESDIS) project.",
"License": ["NASA Open Source"],
"Categories": [
"worldview", "earth data science", "eosdis", "Tiled WMS", "global imagery browse services", "gibs", "design",
"onearth"
],
"Update_Date": "2016-01-28"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Worldview Options Template",
"External Link": "https://github.com/nasa-gibs/worldview-options-template",
"Public Code Repo": "https://github.com/nasa-gibs/worldview-options-template",
"Description": "This repository contains the generic branding with basic configuration for NASA Worldview.This code was originally developed at NASA/Goddard Space Flight Center for the Earth Science Data and Information System (ESDIS) project.",
"License": ["NASA Open Source"],
"Categories": [
"worldview", "earth data science", "eosdis", "Tiled WMS", "global imagery browse services", "gibs", "branding",
"onearth"
],
"Update_Date": "2015-05-05"
},
{
"NASA Center": "Jet Propulsion Laboratory",
"Contributors": ["[email protected]"],
"Software": "Meta Raster Format (mrf)",
"External Link": "https://github.com/nasa-gibs/mrf",
"Public Code Repo": "https://github.com/nasa-gibs/mrf",
"Description": "The source code contains the Meta Raster Format (MRF) specification and plugin for GDAL, which is a part of the OnEarth software package. OnEarth consists of image formatting and serving modules which facilitate the deployment of a web service capable of efficiently serving standards-based requests for georeferenced raster imagery at multiple spatial resolutions including, but not limited to, full spatial resolution. The Meta Raster Format and OnEarth software were originally developed at the Jet Propulsion Laboratory (JPL) to serve global daily composites of MODIS imagery. Since then, it has been deployed and repurposed in other installations, including at the Physical Oceanography Distributed Active Archive Center (PO.DAAC) in support of the State of the Oceans (SOTO) visualization tool, the Lunar Mapping and Modeling Project (LMMP), and GIBS.",
"License": ["ALv2"],
"Categories": [
"worldview", "earth data science", "eosdis", "Tiled WMS", "global imagery browse services", "gibs", "mrf",
"onearth"
],
"Update_Date": "2016-02-05"
},
{
"NASA Center": "Jet Propulsion Laboratory",
"Contributors": ["[email protected]"],
"Software": "Data Curtains",
"External Link": "https://github.com/nasa-gibs/data-curtains",
"Public Code Repo": "https://github.com/nasa-gibs/data-curtains",
"Description": "NASA's Data Curtains from Space is a Google Summer of Code 2015 Project for the Cesium Community developed by Abhishek Potnis under the guidance of Mike McGann and Ryan Boller at NASA. Data Curtains from Space uses Cesium to better visualize data from the CALIPSO satellite, which is used to study clouds and aerosols in the atmosphere.",
"License": ["NASA Open Source"],
"Categories": [
"worldview", "earth data science", "eosdis", "Tiled WMS", "global imagery browse services", "gibs", "onearth",
"data visualization"
],
"Update_Date": "2015-08-31"
},
{
"NASA Center": "Jet Propulsion Laboratory",
"Contributors": ["[email protected]"],
"Software": "OnEarth",
"External Link": "https://github.com/nasa-gibs/onearth",
"Public Code Repo": "https://github.com/nasa-gibs/onearth",
"Description": "OnEarth is a software package consisting of image formatting and serving modules which facilitate the deployment of a web service capable of efficiently serving standards-based requests for georeferenced raster imagery at multiple spatial resolutions including, but not limited to, full spatial resolution. The software was originally developed at the Jet Propulsion Laboratory (JPL) to serve global daily composites of MODIS imagery. Since then, it has been deployed and repurposed in other installations, including at the Physical Oceanography Distributed Active Archive Center (PO.DAAC) in support of the State of the Oceans (SOTO) visualization tool, the Lunar Mapping and Modeling Project (LMMP), and Worldview.",
"License": ["NASA Open Source"],
"Categories": [
"worldview", "earth data science", "eosdis", "global imagery browse services", "gibs", "onearth", "Tiled WMS"
],
"Update_Date": "2016-02-12"
},
{
"NASA Center": "Jet Propulsion Laboratory",
"Contributors": ["[email protected]"],
"Software": "OnEarth Boxes",
"External Link": "https://github.com/nasa-gibs/onearth-boxes",
"Public Code Repo": "https://github.com/nasa-gibs/onearth-boxes",
"Description": "OnEarth-Boxes is a system that creates VM images for use in running, testing, and experimenting with the OnEarth and MRF tools. It uses Packer to produce a variety of pre-built VMs in different formats. OnEarth-Boxes comes pre-configured with NASA Blue Marble and MODIS Aerosol imagery layers, in 4 separate projections. There are OpenLayers endpoints for testing with WMTS, as well as TWMS/KML and Mapserver endpoints.",
"License": ["NASA Open Source"],
"Categories": [
"worldview", "earth data science", "eosdis", "global imagery browse services", "gibs", "onearth", "Tiled WMS"
],
"Update_Date": "2016-02-12"
},
{
"NASA Center": "Jet Propulsion Laboratory",
"Contributors": ["[email protected]"],
"Software": "GIBS Web Examples",
"External Link": "https://github.com/nasa-gibs/gibs-web-examples",
"Public Code Repo": "https://github.com/nasa-gibs/gibs-web-examples",
"Description": "This project shows how to use GIBS as a tile source for OpenLayers, Leaflet, Cesium, Bing, and Google Maps.",
"License": ["NASA Open Source"],
"Categories": [
"worldview", "earth data science", "eosdis", "global imagery browse services", "gibs", "onearth", "Tiled WMS"
],
"Update_Date": "2015-05-20"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Open Layers 3",
"External Link": "https://github.com/nasa-gibs/ol3",
"Public Code Repo": "https://github.com/nasa-gibs/ol3",
"Description": "This repository contains changes to OpenLayers 3 used by Worldview.",
"License": ["NASA Open Source"],
"Categories": [
"worldview", "earth data science", "eosdis", "global imagery browse services", "gibs", "onearth", "Tiled WMS"
],
"Update_Date": "2015-04-03"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["rwbutler4"],
"Software": "WinASSIST",
"External Link": "https://github.com/nasa/WinASSIST",
"Public Code Repo": "https://github.com/nasa/WinASSIST",
"Description": "The WinASSIST program uses a rule-oriented language to automatically generate input files for the SURE/WinSURE program. The user describes the failure behavior and recovery behavior of a fault-tolerant computer system in an abstract language. The WinASSIST program then automatically generates a corresponding semi-Markov model. The abstract language allows efficient description of large, complex systems. A one-page WinASSIST-language description may result in a semi-Markov model with thousands of states and transitions. The WinASSIST program also provides model-reduction techniques to facilitate efficient modeling of large systems.",
"License": ["NASA Open Source"],
"Categories": ["NASA", "Reliability Analysis", "Markov Model Generation", "Fault Tolerance"],
"Update_Date": "2016-01-22"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["rwbutler4"],
"Software": "WinSURE",
"External Link": "https://github.com/nasa/WinSURE",
"Public Code Repo": "https://github.com/nasa/WinSURE",
"Description": "WinSURE is a reliability analysis program used for calculating upper and lower bounds on for the operational and death state probabilities for a large class of semi-Markov models. The program is especially suited for the analysis of fault-tolerant reconfigurable systems. The calculated bounds are close enough (usually within 5 percent of each other) for use in reliability studies of ultra-reliable computer systems. The SURE bounding theorems have algebraic solutions and are consequently computationally efficient even for large and complex systems. SURE can optionally regard a specified parameter as a variable over a range of values, enabling an automatic sensitivity analysis.",
"License": ["NASA Open Source"],
"Categories": ["NASA", "Reliability Analysis", "Markov Model Generation", "Fault Tolerance"],
"Update_Date": "2016-01-22"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "JPF-NAS",
"External Link": "http://babelfish.arc.nasa.gov/hg/jpf/jpf-nas",
"Public Code Repo": "http://babelfish.arc.nasa.gov/hg/jpf/jpf-nas/file/46d377d1a6f2/.project",
"Description": "JPF-NAS is developed to provide support for model checking distributed applications. It relies on the multiprocess support included in Java Pathfinder (JPF) which provides basic functionality to verify the bytecode of distributed applications. JPF-NAS is implemented as a JPF extension which models interprocess communication mechanisms. It uses a form of partial order reduction to explore all possible executions of a distributed Java application. Moreover, JPF-NAS provides a functionality to check the given distributed application under test against possible network failures which can occur at the operating system or the hardware layer.",
"License": ["NASA Open Source"],
"Categories": ["system testing", "design and integration tools"],
"Update_Date": "2015-06-30"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "Autonomous eXplorer Control System (AXCS)",
"External Link": "https://github.com/cboshuizen/AXCS",
"Public Code Repo": "https://github.com/cboshuizen/AXCS",
"Description": "AXCS enables smartphones and other mobile devices to be utilized as a ground-based test bed for operations in extreme environments. For NASA, the technology is currently being used to evaluate hardware for balloon launches. The software's tool kits provide environmental and situational measurements, command and data handing (CD&H) functions, events timing, data logging, and communications with external devices.",
"License": ["NASA Open Source"],
"Categories": ["operations", "mobile devices"],
"Update_Date": "2011-09-13"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "General Mission Analysis Tool (GMAT), Revision 2012a",
"External Link": "http://sourceforge.net/projects/gmat/files/GMAT/GMAT-R2012a",
"Public Code Repo": "http://sourceforge.net/projects/gmat/files/GMAT/GMAT-R2012a/gmat-datafiles-R2012a-Beta.zip/download",
"Description": "GMAT is a software system for mission analysis and trajectory optimization, estimation, and prediction. The technology can be used to design spacecraft trajectories, optimize maneuvers, perform orbit determination, visualize and communicate mission parameters, and understand a mission's trade space.",
"License": ["NASA Open Source"],
"Categories": ["Design and Integration Tools"],
"Update_Date": "2012-05-22"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "General Mission Analysis Tool (GMAT), Revision 2011A",
"External Link": "http://sourceforge.net/projects/gmat/files/GMAT/GMAT-R2011a",
"Public Code Repo": "http://sourceforge.net/projects/gmat/files/GMAT/GMAT-R2011a/gmat-datafilesOnly-R2011a-Beta.zip/download",
"Description": "GMAT is a software system for mission analysis and trajectory optimization, estimation, and prediction. The technology can be used to design spacecraft trajectories, optimize maneuvers, perform orbit determination, visualize and communicate mission parameters, and understand a mission's trade space.",
"License": ["NASA Open Source"],
"Categories": ["Design and Integration Tools"],
"Update_Date": "2011-04-29"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "Savors: A Scalable Aural-Visual Environment for Security Event Monitoring, Analysis, And Response",
"External Link": "http://sourceforge.net/projects/savors",
"Public Code Repo": "http://sourceforge.net/projects/savors/files/latest/download?source=files",
"Description": "Savors is a tool for security event monitoring, analysis, and response. The technology scales to real-world environments and uses high-end computing resources on-demand to compile behavior profiles that point to anomalous behavior. Auralization allows both monitoring and analysis to be performed in parallel and draws attention to critical events in one tool when utilizing another. Remote data access and response capabilities across distributed resources are enabled using grid computing that provides a secure, single sign-on environment.",
"License": ["NASA Open Source"],
"Categories": ["Design and Integration Tools"],
"Update_Date": "2015-01-08"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Core Flight System (CFS) CCSDS File Delivery Protocol (CFDP)",
"External Link": "http://sourceforge.net/projects/cfs-cfdp",
"Public Code Repo": "http://sourceforge.net/projects/cfs-cfdp/files/latest/download",
"Description": "The CCSDS File Delivery Protocol (CFDP) application (CF) is a core Flight System (cFS) application that is a plug in to the Core Flight Executive (cFE) component of the cFS. The CFDP application provides the capability to transmit and receive files to/from the ground. Tables are used to allow flexibility in specifying directory priorities and configurations.",
"License": ["NASA Open Source"],
"Categories": ["vehicle management (space/air/ground)"],
"Update_Date": "2015-03-12"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Core Flight System (CFS) Checksum Application",
"External Link": "http://sourceforge.net/projects/cfs-cs",
"Public Code Repo": "http://sourceforge.net/projects/cfs-cs/files/latest/download",
"Description": "The Checksum application (CS) is a core Flight System (cFS) application that is a plug in to the Core Flight Executive (cFE) component of the cFS. Checksum (CS) is one of the reusable applications that make up the Core Flight System (CFS). The technology performs memory integrity management by verifying the contents of critical flight memory regions. Unexpected changes in memory (i.e., due to an SEU) are reported to ground operators.",
"License": ["NASA Open Source"],
"Categories": ["vehicle management (space/air/ground)"],
"Update_Date": "2015-03-13"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Core Flight System (CFS) Data Storage (DS) Application",
"External Link": "http://sourceforge.net/projects/cfs-ds",
"Public Code Repo": "http://sourceforge.net/projects/cfs-ds/files/latest/download",
"Description": "The Data Storage application (DS) is a core Flight System (cFS) application that is a plug in to the Core Flight Executive (cFE) component of the cFS. The DS application provides the ability to store data (i.e., messages) into files. Tables are used to provide the flexibility for specifying messages.",
"License": ["NASA Open Source"],
"Categories": ["vehicle management (space/air/ground)"],
"Update_Date": "2015-08-04"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Core Flight System (CFS) File Manager (FM) Application",
"External Link": "http://sourceforge.net/projects/cfs-fm",
"Public Code Repo": "http://sourceforge.net/projects/cfs-fm/files/latest/download",
"Description": "FM provides the user commands to perform the following operations: copy file, move file, rename file, delete file(s), close file, concatenate file, decompress file, delete directory contents, create directory, remove directory, obtain file information, obtain open file listing, and obtain directory listings.",
"License": ["NASA Open Source"],
"Categories": ["vehicle management (space/air/ground)"],
"Update_Date": "2015-03-20"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Core Flight System (CFS) Health and Safety Application",
"External Link": "http://sourceforge.net/projects/cfs-hs",
"Public Code Repo": "http://sourceforge.net/projects/cfs-hs/files/latest/download",
"Description": "The plug-and-play CFS Health and Safety application is compatible with the Core Flight Executive (cFE) and uses the Operating System Abstraction Layer (OSAL), both of which were developed by Goddard Space Flight Center in order to provide a reusable, platform-independent, mission-independent, layered architecture for hosting applications. The technology can be used for any government or commercial spacecraft.",
"License": ["NASA Open Source"],
"Categories": ["vehicle management (space/air/ground)"],
"Update_Date": "2015-03-17"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Core Flight System (CFS) Housekeeping (HK) Application",
"External Link": "http://sourceforge.net/projects/cfs-hk",
"Public Code Repo": "http://sourceforge.net/projects/cfs-hk/files/latest/download",
"Description": "The Housekeeping application (HK) is a core Flight System (cFS) application that is a plug in to the Core Flight Executive (cFE) component of the cFS. The CFS Housekeeping application provides the ability to organize data from various packets into new packets in order to best utilize the telemetry bandwidth available for a mission.",
"License": ["NASA Open Source"],
"Categories": ["vehicle management (space/air/ground)"],
"Update_Date": "2015-03-17"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Core Flight System (CFS) Limit Checker (LC) Application",
"External Link": "http://sourceforge.net/projects/cfs-lc",
"Public Code Repo": "http://sourceforge.net/projects/cfs-lc/files/latest/download",
"Description": "The Limit Checker application (LC) is a core Flight System (cFS) application that is a plug in to the Core Flight Executive (cFE) component of the cFS. The Limit Checker (LC) application is responsible for monitoring telemetry values.",
"License": ["NASA Open Source"],
"Categories": ["vehicle management (space/air/ground)"],
"Update_Date": "2015-03-17"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Core Flight System (CFS) Memory Dwell Application",
"External Link": "http://sourceforge.net/projects/cfs-md",
"Public Code Repo": "http://sourceforge.net/projects/cfs-md/files/latest/download",
"Description": "The Memory Dwell application telemeters the contents of table-defined addresses at a table-defined dwell rate. Addresses can be processed using symbols if the target processor/operating system includes symbols.",
"License": ["NASA Open Source"],
"Categories": ["vehicle management (space/air/ground)"],
"Update_Date": "2015-03-17"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Core Flight System (CFS) Scheduler Application",
"External Link": "http://sourceforge.net/projects/cfs-sch",
"Public Code Repo": "http://sourceforge.net/projects/cfs-sch/files/latest/download",
"Description": "The Scheduler application (SCH) is a core Flight System (cFS) application that is a plug in to the Core Flight Executive (cFE) component of the cFS. The Scheduler application uses a one-second major timeframe, which is divided into a designer-determined collection of equally divided minor timeframes. The technology is configurable and table-driven to provide greater flexibility.",
"License": ["NASA Open Source"],
"Categories": ["vehicle management (space/air/ground)"],
"Update_Date": "2015-05-31"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Core Flight System (CFS) Software Bus Network (SBN) Application",
"External Link": "http://sourceforge.net/projects/cfs-sbn",
"Public Code Repo": "http://sourceforge.net/projects/cfs-sbn/files/latest/download",
"Description": "The Software Bus Network application (SBN) is a core Flight System (cFS) application that is a plug in to the Core Flight Executive (cFE) component of the cFS. The SBN serves as a plug-in to the cFE framework to transfer messages across process/processor interfaces. The technology has three primary functions: to establish and maintain a connection to each peer over available process/processor interfaces; to distribute and maintain a subscription message database for each peer; and to distribute messages to peers that have subscribed to message identifiers.",
"License": ["NASA Open Source"],
"Categories": ["vehicle management (space/air/ground)"],
"Update_Date": "2015-03-17"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Core Flight System (CFS) Stored Command (SC) Application",
"External Link": "http://sourceforge.net/projects/cfs-sc",
"Public Code Repo": "http://sourceforge.net/projects/cfs-sc/files/latest/download",
"Description": "The Stored Command application (SC) is a core Flight System (cFS) application that is a plug in to the Core Flight Executive (cFE) component of the cFS. The CFS SC application provides the ability to execute onboard absolute-time and relative-time command sequences. The technology offers a generic implementation that can be configured by a user to fit the needs of a specific mission.",
"License": ["NASA Open Source"],
"Categories": ["vehicle management (space/air/ground)"],
"Update_Date": "2015-03-17"
},
{
"NASA Center": "Ames Research Center",
"Contributors": ["[email protected]"],
"Software": "CAPTools-based Automatic Parallelizer Using OpenMP (CAPO)",
"External Link": "http://people.nas.nasa.gov/~hjin/CAPO",
"Public Code Repo": "http://people.nas.nasa.gov/~hjin/CAPO/dist/capo-examples-1.1.tar.gz",
"Description": "CAPO analyzes a Fortran program and inserts OpenMP directives into the code to improve its performance on a parallel machine. The tool relies on accurate inter-procedural data-dependence information currently provided by CAPTools, which was developed at the University of Greenwich.",
"License": ["NASA Open Source"],
"Categories": ["Data Servers Processing and Handling"],
"Update_Date": "2015-03-17"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Coordinated Data Analysis Workshop Web (CDAWeb)",
"External Link": "http://cdaweb.gsfc.nasa.gov/about.html",
"Public Code Repo": "http://cdaweb.gsfc.nasa.gov/cgi-bin/eval1.cgi",
"Description": "The CDAWeb software and the CDAWeb service built on this software have been developed and continue to be enhanced and maintained by the Space Physics Data Facility. The technology has supported NASA/Office of Space Science programs dealing with the connections between the Sun and the Earth. CDAWeb software is essentially a set of Interactive Data Language (IDL) scripts that act as the engine of the system.",
"License": ["NASA Open Source"],
"Categories": ["Data Servers Processing and Handling"],
"Update_Date": "2016-01-11"
},
{
"NASA Center": "Ames Research Center Center",
"Contributors": ["[email protected]"],
"Software": "Dyper: Dynamic Perimeter Enforcement",
"External Link": "http://sourceforge.net/projects/dyper",
"Public Code Repo": "http://sourceforge.net/projects/dyper/files",
"Description": "Dyper protects a site from unauthorized network flows. The tool offers dynamic perimeter enforcement by providing a general-purpose mechanism for maintaining least-privilege network security policies while still supporting the full utilization of multiport protocols. Dyper requires no changes to software or practices outside of the perimeter and only minimal changes inside.",
"License": ["NASA Open Source"],
"Categories": ["Data Servers Processing and Handling", "Security", "Firewalls", "Routing"],
"Update_Date": "2014-05-25"
},
{
"NASA Center": "Goddard Space Flight Center",
"Contributors": ["[email protected]"],
"Software": "Hierarchical Data Format Earth Observing System (HDF-EOS)Data Extractor (HEEX)",
"External Link": "https://eosweb.larc.nasa.gov/HBDOCS/hdf.html",
"Public Code Repo": "ftp://ftp.hdfgroup.org/HDF/HDF_Current/",
"Description": "The Hierarchical Data Format Earth Observing System (HDF-EOS) Data Extractor (HEEX) is a tool that enables users to extract HDF-EOS data to binary or ASCII data formats in HTML or XML index. The software can be used for both HDF-EOS2 and HDF-EOS5, and it automatically recognizes the two formats.",
"License": ["NASA Open Source"],
"Categories": ["Data Servers Processing and Handling"],
"Update_Date": "2016-01-11"
},
{
"NASA Center": "Ames Research Center Center",
"Contributors": ["[email protected]"],
"Software": "Netmark eXtensible DataBase, Data Access and Retrieval Composition (XDB3-DARC)",
"External Link": "http://sourceforge.net/projects/darcxdb3",
"Public Code Repo": "http://sourceforge.net/projects/darcxdb3/files/latest/download",
"Description": "This innovation will query using a suite of operators in the Netmark/XDB query language to retrieve elements based on the absolute value of tags in the XML source. In an earlier version of the software, element retrieval was based solely on 'full-text' term searches of the tags and their values.",
"License": ["NASA Open Source"],
"Categories": ["Data Servers Processing and Handling", "Data Warehousing", "Front-Ends", "XML"],
"Update_Date": "2013-04-26"
},
{
"NASA Center": "Ames Research Center Center",
"Contributors": ["[email protected]"],
"Software": "Network-Form Game Software Library (libnfg)",
"External Link": "http://ritchielee.net/software/libnfg-snap-1-0/",
"Public Code Repo": "http://ritchielee.net/wp-content/uploads/2015/11/libnfg-snap-1.0.zip",
"Description": "The libnfg software library describes how humans interact with their environment and with other humans. The tool provides a Monte Carlo analysis of user-specified 'network-form games', which are flexible modeling methodologies that combine Bayes nets and game theory to model complex systems.",
"License": ["NASA Open Source"],
"Categories": ["Crew and Life Support"],
"Update_Date": "2016-01-11"
},
{
"NASA Center": "Ames Research Center Center",
"Contributors": ["[email protected]"],
"Software": "AutoBayes: Automatic Design of Customized Analysis Algorithms and Programs",
"External Link": "https://ti.arc.nasa.gov/opensource/projects/autobayes/",
"Public Code Repo": "https://ti.arc.nasa.gov/m/opensource/downloads/AUTOBAYES_07202011.tgz",
"Description": "AutoBayes uses extended Bayesian networks, a powerful symbolic system, and algorithm schemas to automatically generate efficient and customized programs for data analysis. It generates a standardized design document containing a graphical representation of the Bayesian network and of the details regarding the code's generation.",
"License": ["NASA Open Source"],
"Categories": ["Data and Image Processing"],
"Update_Date": "2011-07-20"
},
{
"NASA Center": "Ames Research Center Center",
"Contributors": ["[email protected]"],
"Software": "Constellation PRACA Extension of the Bugzilla Application",
"External Link": "https://mas.nasa.gov/ARC-PRACA/about.cgi",
"Public Code Repo": "https://www.bugzilla.org/news/#release503",
"Description": "The Constellation PRACA I-1 system is a modified version of an open-source, Web-based defect tracking tool called Bugzilla. Bugzilla allows software developers to document and track outstanding bugs in their products; in the Constellation PRACA I-1 system, these core capabilities have been extended to provide the necessary functionality and usability defined in the PRACA processing requirements.",
"License": ["NASA Open Source"],
"Categories": ["Data and Image Processing"],
"Update_Date": "2016-06-16"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["[email protected]"],
"Software": "FilePlottingTools",
"External Link": "http://fileplottingtools.larc.nasa.gov",
"Public Code Repo": "http://fileplottingtools.larc.nasa.gov/files/2015/07/FilePlottingToolsInstaller_v2.0.zip",
"Description": "This Excel plugin written in VB.net allows rapid post-processing of thermal analysis data from text files or from SINDA-formatted SAV files. The software can be adapted to other data formats as well.",
"License": ["NASA Open Source"],
"Categories": ["Data and Image Processing"],
"Update_Date": "2015-07-15"
},
{
"NASA Center": "Ames Research Center Center",
"Contributors": ["[email protected]"],
"Software": "Highly Scalable Matching Pursuit Signal Decomposition Algorithm (MPD)",
"External Link": "https://c3.nasa.gov/dashlink/resources/125/",
"Public Code Repo": "https://c3.nasa.gov/dashlink/static/media/algorithm/MPD.zip",
"Description": "MPD is a powerful and effective iterative algorithm for signal decomposition and feature extraction. The technology decomposes any signal into linear combinations of its dictionary elements, or 'atoms.'",
"License": ["NASA Open Source"],
"Categories": ["Data and Image Processing"],
"Update_Date": "2010-09-10"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["[email protected]"],
"Software": "Hypatheon-Searchable Database Capability for Formalized Mathematics",
"External Link": "https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwjTrdPlvqPOAhUH_WMKHQB5BVwQFgggMAA&url=http%3A%2F%2Fshemesh.larc.nasa.gov%2FPVSClass2012%2Fpvsclass2012%2Flectures-printer%2Fhypatheon.pdf",
"Public Code Repo": "http://shemesh.larc.nasa.gov/people/bld/ftp/Hypatheon-1.1.tgz",
"Description": "The Hypatheon suite of software tools provide a searchable database capability for the specialized domain of formalized mathematics. The technology is designed to be a companion to a specific tool called PVS, which supports an emerging type of advanced software verification intended for safety-critical systems. Hypatheon aims to enhance PVS users' productivity by first indexing the mathematical theories rendered in the PVS specification language, then making their contents searchable by an interactive software tool.",
"License": ["NASA Open Source"],
"Categories": ["Data and Image Processing"],
"Update_Date": "2013-03-28"
},
{
"NASA Center": "Ames Research Center Center",
"Contributors": ["[email protected]"],
"Software": "Multivariate Time Series Search Capability to Identify Complex Patterns in Large Datasets",
"External Link": "https://ti.arc.nasa.gov/opensource/projects/mts-search/",
"Public Code Repo": "https://ti.arc.nasa.gov/m/opensource/downloads/MTS_Search.zip",
"Description": "This software allows the user to specify a time series over multiple variables to search within massive datasets. The tool will return a listing of events (a time series) from the database that spans multiple variables and is within a threshold distance from the query. Experiments on numerous real aviation datasets have demonstrated the algorithm's capability to uncover potential aircraft safety events (as validated by multiple aviation safety experts and airlines).",
"License": ["NASA Open Source"],
"Categories": ["Data and Image Processing"],
"Update_Date": "2016-01-11"
},
{
"NASA Center": "Langley Research Center",
"Contributors": ["[email protected]"],
"Software": "NASA Ruby",
"External Link": "https://github.com/kleb/nasarb",
"Public Code Repo": "https://github.com/kleb/nasarb",
"Description": "A home for NASA's open source Ruby software. funit (Fortran unit testing framework.) fortran (Fortran utilities.) watch-paths (Poor man's file monitoring.) namelists (Generates webpage for creating namelists found in Fortran programs.) uq4sim (Uncertainty quantification for simulation.)",
"License": ["NASA Open Source"],