diff --git a/.nojekyll b/.nojekyll new file mode 100644 index 00000000..e69de29b diff --git a/CNAME b/CNAME new file mode 100644 index 00000000..fec1ce3e --- /dev/null +++ b/CNAME @@ -0,0 +1 @@ +quasar.codes diff --git a/categories/index.html b/categories/index.html new file mode 100644 index 00000000..609efaeb --- /dev/null +++ b/categories/index.html @@ -0,0 +1,117 @@ + + +
+If you are using Orange in your research, please cite:
+Demsar J, Curk T, Erjavec A, Gorup C, Hocevar T, Milutinovic M, Mozina M, Polajnar M, Toplak M, Staric A, Stajdohar M, Umek L, Zagar L, Zbontar J, Zitnik M, Zupan B (2013) + Orange: Data Mining Toolbox in Python + +Journal of Machine Learning Research 14(Aug):2349−2353.
+BibTeX entry:
+ @article{JMLR:demsar13a,
+ author = {Janez Dem\v{s}ar and Toma\v{z} Curk and Ale\v{s} Erjavec and \v{C}rt Gorup and
+ Toma\v{z} Ho\v{c}evar and Mitar Milutinovi\v{c} and Martin Mo\v{z}ina and Matija Polajnar and
+ Marko Toplak and An\v{z}e Stari\v{c} and Miha \v{S}tajdohar and Lan Umek and
+ Lan \v{Z}agar and Jure \v{Z}bontar and Marinka \v{Z}itnik and Bla\v{z} Zupan},
+ title = {Orange: Data Mining Toolbox in Python},
+ journal = {Journal of Machine Learning Research},
+ year = {2013},
+ volume = {14},
+ pages = {2349-2353},
+ url = {http://jmlr.org/papers/v14/demsar13a.html}
+ }
+
+Orange is developed by the + Bioinformatics Lab + at University of Ljubljana, Slovenia, in collaboration with + open source community +. +Orange is an open source project. If you include it within your programs, please comply with the + license +. + Contact us + if you would like to use Orange under other licenses.
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Do you find Quasar useful and would like to contribute to the project? We are +always happy to form new connections.
+Also, contact us if your are missing a specific component (visualization, file reader, +preprocessing method, or similar) and are willing to commit resources towards +its development.
+Please describe your proposal or issue as thoroughly as possible. If you are +proposing an addition to Quasar, please also mention a rough deadline and available resources.
+ +The contents of this form will be sent to developers of Quasar.
+ + + + + +We will not bother you too often.
+You will receive updates on releases, new features and live or online events.
If something is not working, you have a question, a request or just want to say “Hi! …”
+ +We strive to implement new features in Quasar, but our resources are limited. If you +need a feature urgently and are willing to finance it, we are ready to reorganize our +programming resources.
+As a recognition of your financial contribution, the newly implemented feature will +be closed source (only for your use) for 6 months and will be open sourced after. Furthermore, +you will be referenced both in the source code and on the Quasar website as a contributor. +This way we can grow faster for the whole community!
+Please send us a short description of your problem and we will get back to you.
+ + + + + + +To efficiently use Quasar, familiarize yourself both with general Orange components and with +components specific to Quasar.
+Here we link the latest Quasar training materials. If you feel like writing up a chapter, please feel free to contribute on Github!
+Read this excellent paper to learn about overfitting through hands-on examples using Orange.
+Our public repositories are hosted on github. Feel +free to report issues or open pull requests. The main repositories are:
+Quasar-1.10.1-Miniconda-x86_64.exe - an +installer that can be used without administrative privileges (64 bit).
+When updating, remove the older version first. If there are any problems, also remove the corresponding Miniconda and reinstall.
+The package includes python 3.10.11, +Orange 3.37.0, Orange-Spectroscopy 0.6.14, numpy 1.24.4, +scipy 1.10.1, scikit-learn 1.3.2.
+Quasar-1.10.1-Python3.11.8-arm64.dmg
+Quasar-1.10.1-Python3.10.11-x86_64.dmg
+Not sure which installer to select? Click the Apple logo in the top-left corner of your screen, select About This Mac, and check the Chip or Processor field. If you see Apple, select the Orange for Apple Silicon installer. If you see Intel, select the Orange for Intel.
+The package includes +Orange 3.37.0, Orange-Spectroscopy 0.6.14, numpy 1.24.4, +scipy 1.10.1, scikit-learn 1.3.2.
+If needed, you can download previous versions from our download archive.
+On other platforms, such as Linux, you will need a fairly recent python3 installation. +We highly recommend that you create a python virtual environment first. +There, install Quasar with pip:
+pip install quasar
+
+The above command will install all dependencies except PyQt. Install it with
+pip install PyQt5
+
+Then, run Quasar with:
+python -m quasar
+
+To open Bruker OPUS files, also install opusFC (only available for some platforms):
+pip install opusFC
+
+If you are using python provided by the miniconda / Anaconda distribution, you are almost ready to go.
+As with pip, we highly recommend you create a separate environment for your Quasar installation.
+Add two new channels:
+conda config --add channels conda-forge
+conda config --add channels https://quasar.codes/conda/
+
+and set the channel_priority recommended by conda-forge:
+conda config --set channel_priority strict
+
+and install the quasar package:
+conda install quasar
+
+To open Bruker OPUS files, also install opusFC (only available for some platforms):
+conda install opusfc
+
+
+
+
+
+
+ Would you like to learn about Quasar directly from us?
+Participate in one of our training workshops!
+Sign up for our newsletter or register to a future event if you would like to be notified about upcoming workshops.
+Would you like us to hold a workshop at your facility? Let’s talk!
+Oxford, UK
+October 30-November 1, 2024
+Workshop organized by the Diamond Synchrotron
+Number of participants: ~30
Castelldefels, Spain
+October 7, 2024
+Workshop organized by the ALBA Synchrotron
+Number of participants: ~30
Berlin, Germany
+11-13 March, 2024
+Workshop organized by the BESSY-II Synchrotron
+Number of participants: ~30
Lund, Sweden
+October 25-27, 2023
+Workshop organized at LINXS
+Number of participants: ~8
Saint Aubin, France
+October 16-18, 2023
+Workshop organized at the SOLEIL Synchrotron
+Number of participants: ~20
Oxford, UK
+Novermber 1-3, 2022
+Live workshop organized by the Diamond Synchrotron
+Number of participants: ~30
Padova, Italy
+October 20, 2022
+Independent, hybrid workshop organized by the Monash University (Australia) and Padova University (Italy)
+Number of participants: ~30
Saint Aubin, France
+May 11-13, 2022
+Online workshop organized by the SOLEIL Synchrotron
+Number of participants: ~70
Oxford, UK
+March 23 and 25, 2021
+Online workshop organized by the Diamond Synchrotron
+Number of participants: ~30
Lund, Sweden
+January 13-15, 2021
+Hybrid workshop organized by LINXS
+Number of participants: ~30
Saskatoon, Canada SK
+October 15 and 16, 2020
+Online workshop organized by the Canadian Light Source
+Number of participants: ~80
Oxford, UK
+July 7 and 10, 2020
+Online workshop organized by the Diamond Synchrotron
+Number of participants: ~30
Lund, Sweden
+May 22, 2020
+Online workshop organized by LINXS
+Number of participants: ~25
Saint Aubin, France
+October 24-26, 2018
+Live workshop organized by the SOLEIL Synchrotron
+Number of participants: ~30
Melbourne, Australia
+September 26-27, 2018
+Live workshop organized by the Australian Synchrotron
+Number of participants: ~20
+ Quasar is an open source project, a collection of data +analysis toolboxes extending the Orange suite. We empower researchers from a +variety of fields to gain better insight to their data through interactive data +visualization, powerful machine learning methods and combining different +datasets in easy to understand visual workflows. +
+ Download + or + Contribute ++ Freely build visual data analysis workflows that help answer your scientific questions. + Combine widgets that share input and output types. There are infinite + possibilities! +
+ A whole is always more than the sum of parts. Although our journey started with (hyper)spectral data + through the Orange Spectroscopy toolbox, + Quasar intends to add file readers, processing tools, and visualizations for multiple measurement techniques. + This will allow the discovery of new scientific insights through multimodal data analysis. +
++ Orange is a general purpose machine learning and visualization platform which can be extended. + Quasar is a variant of Orange and includes pre-installed toolboxes for scientific data analysis. + Another member of the Orange family is Single Cell Orange, specializing in genomics data. +
+ Meet + Orange + or + scOrange ++ Quasar is a collaborative effort of many institutions. + We aim to benefit the entire scientific community through open source, + democratic data analysis. +
++ We hope that you will join our effort! +
+ + Contact us +If you like our work and used Quasar or Orange-Spectroscopy for your data analysis, please cite them:
+Quasar papers:
+M. Toplak, et al. Quasar: Easy Machine Learning for Biospectroscopy. Cells 10, 2300 (2021)
+M. Toplak, et al. Infrared Orange: Connecting Hyperspectral Data with Machine Learning. Synchrotron Rad. News 30, 40–45 (2017)
Our Google Scholar profile shows that we currently have 184 citations. However, our impact is much higher: the works that use Quasar received more than 1000 citations already!
+Thanks, and keep it coming guys!!!
+ + + + + +