The GESIS Notebooks is provided by GESIS – Leibniz Institute for the Social Sciences and can be reached here.
+Open, with a focus on Computational Social Science
+Open
+https://the-turing-way.netlify.app/communication/binder/zero-to-binder.html
+GESIS Notebooks offers:
+Version(s): JupyterHub 3.0.0-beta.1, BinderHub
+Temporarly install new packages by the user
+Part of the BinderHub Federation
+GESIS Notebooks provides Jupyter servers within the following resource limits:
+| Resource | +Default | +Maximum | +
|---|---|---|
| Number of Jupyter servers per user | +1 | +250 | +
| Number of CPUs | +1 | +1 | +
| CPU time | +20 min | +6 h | +
| Amount of memory | +2 GB | +4 GB | +
| Number of GPUs | +0 | +0 | +
| Disk space | +10 GB | +10 GB | +
| Persistent disk space | +0 | +0 | +
The RWTH HPC JupyterHub is provided by ITC RWTH Aachen University and can be reached here.
+Researchers, RWTH Students/Employees/Guests, Juelich Members, Users sponsored by other Users, Users upon project application
+Login with RWTH HPC Account through most NHR or NRW VPNs
+https://help.itc.rwth-aachen.de/service/rhr4fjjutttf/article/689934fec5a34c909c54606f6bc2e827/
+RWTH HPC JupyterHub offers:
+Version(s): JupyterHub 3.0+, JupyterLab 3.4.7+
+Shared folder exists
+Persistent storage
+Available computing time (core-hours) vary based on user affiliation or project. Project application is necesary.
+Runs on HPC Hardware under Slurm.
+Users installs planned, by request only at the moment.
+Python 3.9
+Octave
+R
+C++ 11/14/17
+Matlab 2022b
+Matlab 2020b
+Python: Keras
+Python: Tensorflow
+Python: Tensorboard
+Python: Gurobi
+Python: Pytorch
+ipytree
+jupyterlab-drawio
+jupyterlab-plotly
+jupyterlab_iframe
+nbdime-jupyterlab
+jupyter-matplotlib
+jupyterlab_pygments
+jupyterlab/git
+jupyterlab/latex
+jupyter-widgets/jupyterlab-manager
+Matlab 2022b
+Matlab 2020b
+RWTH HPC JupyterHub provides Jupyter servers within the following resource limits:
+| Resource | +Default | +Maximum | +
|---|---|---|
| Number of Jupyter servers per user | +1 | +5 | +
| Number of CPUs | +1 | +48 | +
| CPU time | +4h | +172 h | +
| Amount of memory | +4 GB | +185 GB | +
| Number of GPUs | +0 | +2 | +
| Disk space | +400 GB | +1 TB | +
| Persistent disk space | +400 GB | +1 TB | +
The Jupyter-Cloud is provided by GWDG and can be reached here.
+Users having a full GWDG account (which can include people working in partner projects)
+Login via Shibboleth (AcademicID - academiccloud.de)
+https://docs.gwdg.de/doku.php?id=en:services:application_services:jupyter:start
+Jupyter-Cloud offers:
+Version(s): JupyterLab 3.5 (via JupyterHub)
+Temporarly install new packages by the user
+Persistent storage
+Based on Jupyter Datascience Notebook image, extended with user-requested data science tools
+Python
+Julia
+R
+Bash
+git
+plotly
+matplotlib
+Jupyter-Cloud provides Jupyter servers within the following resource limits:
+| Resource | +Default | +Maximum | +
|---|---|---|
| Number of Jupyter servers per user | +1 | +1 | +
| Number of CPUs | +1 | +4 | +
| CPU time | +24 h | +24 h | +
| Amount of memory | +15 GB | +15 GB | +
| Number of GPUs | +0 | +0 | +
| Disk space | +10 GB | +10 GB | +
| Persistent disk space | +10 GB | +10 GB | +
The SCC Jupyterhub is provided by GWDG and can be reached here.
+Users with a full GWDG account (including people working in partner projects).
+Login via LDAP
+https://docs.gwdg.de/doku.php?id=en:services:application_services:jupyter:hpc
+SCC Jupyterhub offers:
+Version(s): JupyterHub 1.0.0, Notebook Server 6.0.3
+Shared folder exists
+Persistent storage
+Own directory can be made writable for others.
+Project directories are possible (POSIX group members can get acces).
+Scratch file system (very fast), and Stornext (slower, for home file system)
+Python
+R
+Bash
+SCC Jupyterhub provides Jupyter servers within the following resource limits:
+| Resource | +Default | +Maximum | +
|---|---|---|
| Number of Jupyter servers per user | +1 | +1 | +
| Number of CPUs | +12 | +24 | +
| CPU time | +8h | +8h | +
| Amount of memory | +64GB | +128GB | +
| Number of GPUs | +0 | +1 | +
| Disk space | +20 GB | +0.5 PB available for all users | +
| Persistent disk space | +None | +0.5PB available for all users | +
The Jupyter-JSC is provided by Juelich Supercomputing Centre and can be reached here.
+HPC users of JSC. Helmholtz users in general
+Login via JSC account or Helmholtz AAI
+https://docs.jupyter-jsc.fz-juelich.de
+Jupyter-JSC offers:
+Version(s): JupyterHub 2.3.1 JupyterLab 2.6,3.2,3.3,3.4
+Temporarly install new packages by the user
+Persistent storage
+Start on multiple (external) systems possible (including hpc). Resources depend highly on system
+2FA authentication available
+WebDAV connection possible
+SSL encryption between JupyterLab and JupyterHub
+Bash
+Cling
+JavaScript
+Julia
+Octave
+R
+Ruby
+PyDeepLearning
+PyQuantum
+PyVisualization
+Custom
+Bokeh
+JupyterLab Preview
+JupyterLab Manager
+JupyterLab Sidecar
+JupyterLab Git
+JupyterLab server proxy
+JupyterLab toc
+JupyterLab lsp
+JupyterLab quickopen
+JupyterLab pyviz
+JupyterLab Code Formatter
+BQPlot
+Dask Labextension
+IPyVolume
+ITKWidgets
+Leaflet
+Matplotlib
+ThreeJS
+Vue
+Vuetify
+JuypterLab Control
+JupyterLab Dash
+JupyterLab Datawidgets
+JupyterLab GitLab
+JupyterLab Lmod
+JupyterLab plotly
+JupyterLab System Monitor
+JupyterLAb Theme Toggle
+JupyterLab topbar extension
+JupyterLab iframe
+nbdime
+plotlywidget
+pvlink
+Jupyter Slurm Provisioner
+NVDashboard
+Jupyter-JSC provides Jupyter servers within the following resource limits:
+| Resource | +Default | +Maximum | +
|---|---|---|
| Number of Jupyter servers per user | +1 | +100 | +
| Number of CPUs | +2 | +1024 | +
| CPU time | +30 min | +24 h | +
| Amount of memory | +96 GB | +768 GB | +
| Number of GPUs | +0 | +4 | +
| Disk space | +10 GB | +None | +
| Persistent disk space | +None | +None | +
The HoreKa Jupyterhub is provided by Karlsruhe Institute of Technology and can be reached here.
+Researchers, Users upon project application, Helmholtz users
+Login through Home Organizations, Helmholtz AAI
+https://www.nhr.kit.edu/userdocs/jupyter
+HoreKa Jupyterhub offers:
+Version(s): Jupyterhub 3.1.1, Jupyterlab 3.4.8
+Temporarly install new packages by the user
+Shared folder exists
+Persistent storage
+Available resources and apps may vary based on Cluster
+BEEGFS Filesystem can be mounted
+LSDF can be mounted
+User can install own python kernels
+Container integration via pyxis
+Python
+Julia
+R
+jupyterlab-lmod
+dask-labextension
+jupyterlab-git
+jupyterlab-latex
+jupytext
+jupyter-codeserver-proxy
+jupyter-desktop-server
+HoreKa Jupyterhub provides Jupyter servers within the following resource limits:
+| Resource | +Default | +Maximum | +
|---|---|---|
| Number of Jupyter servers per user | +1 | +1 | +
| Number of CPUs | +72 | +72 | +
| CPU time | +None | +None | +
| Amount of memory | +237 GB | +488 GB | +
| Number of GPUs | +0 | +4 | +
| Disk space | +None | +800 GB | +
| Persistent disk space | +10 TB | +250 TB | +
The MPCDF JupyterHub is provided by Max Planck Computing and Data Facility and can be reached here.
+Researchers of the Max Planck Society
+None
+None
+MPCDF JupyterHub offers:
+Version(s): JupyterHub 1.x (lab view)
+Temporarly install new packages by the user
+Python
+Julia
+R
+MPCDF JupyterHub provides Jupyter servers within the following resource limits:
+| Resource | +Default | +Maximum | +
|---|---|---|
| Number of Jupyter servers per user | +1 | +1 | +
| Number of CPUs | +1 | +4 | +
| CPU time | +1 h | +72 h | +
| Amount of memory | +100 MB | +4 GB | +
| Number of GPUs | +0 | +0 | +
| Disk space | +10 GB | +10 GB | +
| Persistent disk space | +0 GB | +0 GB | +
The NFDI4Ing JupyterHub is provided by University of Stuttgart and can be reached here.
+Researchers of NFDI4Ing
+Login via Shibboleth (DFN-AAI & eduGAIN federation)
+None
+NFDI4Ing JupyterHub offers:
+Version(s): JupyterHub 1.x (lab view)
+Temporarly install new packages by the user
+Persistent storage
+WebDAV connection possible
+Python
+Matlab
+Julia
+R
+NFDI4Ing JupyterHub provides Jupyter servers within the following resource limits:
+| Resource | +Default | +Maximum | +
|---|---|---|
| Number of Jupyter servers per user | +1 | +1 | +
| Number of CPUs | +1 | +4 | +
| CPU time | +1 h | +72 h | +
| Amount of memory | +100 MB | +4 GB | +
| Number of GPUs | +0 | +0 | +
| Disk space | +10 GB | +10 GB | +
| Persistent disk space | +2 GB | +2 GB | +
The PC² JupyterHub is provided by Paderborn Center for Parallel Computing, University of Paderborn and can be reached here.
+All users of a computing time project at PC²
+Login via LDAP
+https://pc2.uni-paderborn.de/go/jh
+PC² JupyterHub offers:
+Version(s): JupyterHub 3.1.0, JupyterLab 3.6
+Temporarly install new packages by the user
+Shared folder exists
+Persistent storage
+Singularity integration (default + custom container)
+Pre-Set Environments
+Course functionality
+Remote Desktop with Slurm tools and module
+Remote Slurm kernel to start only kernels remote on cluster
+Direct connection of the cluster parallel filesystem
+User home directory for e.g. user-specific packages
+Python
+Julia
+R
+jupyterlab-nvdashboard
+jupyterlab-lmod
+jupyterlab-desktop
+jupyterlab-plotly
+jupyterlab-pygments
+Remote Desktop (noVNC)
+Full offered software on clusters with graphical interface (https://pc2.uni-paderborn.de/go/software)
+PC² JupyterHub provides Jupyter servers within the following resource limits:
+| Resource | +Default | +Maximum | +
|---|---|---|
| Number of Jupyter servers per user | +1 | +10 | +
| Number of CPUs | +None | +143872 | +
| CPU time | +None | +21 d | +
| Amount of memory | +None | +347 TB | +
| Number of GPUs | +None | +128 | +
| Disk space | +None | +6 PB temporary scratch data (requested on application) | +
| Persistent disk space | +None | +185 TB permanent data (requested on application) | +
The Webbasiertes Data Science und Machine Learning mit Jupyter is provided by University of Leipzig and can be reached here.
+Students and employees of University of Leipzig
+Login via SC account
+https://www.sc.uni-leipzig.de, https://www.urz.uni-leipzig.de/unsere-services/servicedetail/service/webbasiertes-data-science-und-machine-learning-mit-jupyter
+Webbasiertes Data Science und Machine Learning mit Jupyter offers:
+Version(s): JupyterHub 3.1.0, JupyterLab 3.5.3
+Temporarly install new packages by the user
+Shared folder exists
+Python 3.11
+Python 3.9 OpenCV 4.7
+Python 3.9 PyTorch 1.10
+Python 3.9 TensorFlow 2.6.2
+SageMath 10.0
+R 4.2.2
+Julia 1.8.5
+server-proxy
+jupyterlab-manager
+webio-jupyterlab-provider
+jupyterlab_pygments
+jupyterlab_lmod
+Webbasiertes Data Science und Machine Learning mit Jupyter provides Jupyter servers within the following resource limits:
+| Resource | +Default | +Maximum | +
|---|---|---|
| Number of Jupyter servers per user | +1 | +1 | +
| Number of CPUs | +1 | +8 | +
| CPU time | +4h | +4h | +
| Amount of memory | +8GB | +32GB | +
| Number of GPUs | +0 | +1 | +
| Disk space | +None | +None | +
| Persistent disk space | +None | +None | +
The University of Münster JupyterHub is provided by University of Münster and can be reached here.
+Students and employees of University of Münster, members of PUNCH4NFDI (soon)
+Login via Shibboleth (DFN-AAI & eduGAIN federation)
+None
+None
+University of Münster JupyterHub offers:
+Version(s): JupyterHub 3.0, JupyterLab 3.6
+Temporarly install new packages by the user
+Persistent storage
+Available resources and apps may vary based on user affiliation
+Sciebo cloud storage integration (beta)
+GUI apps via noVNC in browser window
+Hosted on Kubernetes cluster
+Python
+Octave
+Julia
+R
+SageMath
+gnuplot
+Mathematica
+C++
+Rust
+Go
+Scheme
+jupyterlab_pygments
+ipyparallel-labextension
+jupyter-matplotlib
+jupyter-threejs
+jupyterlab-datawidgets
+bqplot
+ipysheet
+ipyvolume
+jupyter-leaflet
+jupyter-vue
+jupyter-vuetify
+jupyter-webrtc
+jupyterlab-drawio
+jupyterlab-plotly
+nglview-js-widgets
+jupyterlab-jupytext
+jupyterlab-logout
+jupyterlab-system-monitor
+jupyterlab-topbar-extension
+jupyterlab_iframe
+nbdime-jupyterlab
+@jupyter-widgets/jupyterlab-manager
+@jupyter-widgets/jupyterlab-sidecar
+@jupyterlab/git
+@jupyterlab/server-proxy
+@jupyterlab/latex
+@jupyterlab/mathjax3-extension
+@bokeh/jupyter_bokeh
+@agoose77/jupyterlab-markup
+@jupyter-server/resource-usage
+@lckr/jupyterlab_variableinspector
+@ryantam626/jupyterlab_code_formatter
+jupyterlab-controlpanel
+jupyterlab-helplinks
+jupyterlab-theme-toggle
+Matlab IDE
+RStudio
+VS Code
+Shiny
+Avogadro
+Blender
+Grace
+Mathematica
+MaxQuant
+OMERO
+ParaView
+Spyder
+TeXstudio
+VMD
+VoreenVE
+University of Münster JupyterHub provides Jupyter servers within the following resource limits:
+| Resource | +Default | +Maximum | +
|---|---|---|
| Number of Jupyter servers per user | +1 | +1 | +
| Number of CPUs | +0.25 | +2 | +
| CPU time | +6 h | +6 h | +
| Amount of memory | +1 GB | +16 GB | +
| Number of GPUs | +0 | +1 | +
| Disk space | +5 GB | +5 GB | +
| Persistent disk space | +5 GB | +5 GB | +
Jupyter Notebooks are an interactive computing environment for creating and sharing documents with live code, text, and visualizations. They consist of cells for code and text, can be used for data science and other tasks, and support multiple programming languages. Notebooks can be saved and shared, making collaboration and showcasing work easy.
+This site wants to provide an overview of avaiable Jupyter Services for researchers in Germany. You can filter the Services with the facets on the right. If your instance is missing, have a look at our contribution page. If you are interessted in current statistics, have a look here.
+
University of Münster JupyterHub
+Provider: University of Münster + +
Webbasiertes Data Science und Machine Learning mit Jupyter
+Provider: University of Leipzig + +
MPCDF JupyterHub
+Provider: Max Planck Computing and Data Facility + +
GESIS Notebooks
+Provider: GESIS – Leibniz Institute for the Social Sciences + +
PC² JupyterHub
+Provider: Paderborn Center for Parallel Computing, University of Paderborn + +
Jupyter Notebooks are an interactive computing environment for creating and sharing documents with live code, text, and visualizations. They consist of cells for code and text, can be used for data science and other tasks, and support multiple programming languages. Notebooks can be saved and shared, making collaboration and showcasing work easy.
This site wants to provide an overview of avaiable Jupyter Services for researchers in Germany. You can filter the Services with the facets on the right. If your instance is missing, have a look at our contribution page. If you are interessted in current statistics, have a look here.
University of M\u00fcnster JupyterHub
Provider: University of M\u00fcnster Service Details Login
Jupyter-JSC
Provider: Juelich Supercomputing Centre Service Details Login
Webbasiertes Data Science und Machine Learning mit Jupyter
Provider: University of Leipzig Service Details Login
MPCDF JupyterHub
Provider: Max Planck Computing and Data Facility Service Details Login
Jupyter-Cloud
Provider: GWDG Service Details Login
GESIS Notebooks
Provider: GESIS \u2013 Leibniz Institute for the Social Sciences Service Details Login
SCC Jupyterhub
Provider: GWDG Service Details Login
PC\u00b2 JupyterHub
Provider: Paderborn Center for Parallel Computing, University of Paderborn Service Details Login
HoreKa Jupyterhub
Provider: Karlsruhe Institute of Technology Service Details Login
RWTH HPC JupyterHub
Provider: ITC RWTH Aachen University Service Details Login
NFDI4Ing JupyterHub
Provider: University of Stuttgart Service Details Login
"},{"location":"stats/","title":"Statistics about the Jupyter Services collected","text":"In total, the collected Jupyter Services provide XXX CPUs and XXX RAM to researchers.
Currently, on average XXX users use Jupyter per day.
"},{"location":"template/","title":"Join the list","text":"To become part of the list of JupyterHub instances of Germany you have to provide a yaml-file with the information listed in the table below. You can check out existing yaml-files and a template you can base on in the data folder. You can also add a logo of your service is the assets folder. When everything is ready, please add a pull request to the main branch of this repository. If you need further assistance or have other questions, do not hesitate to open an issue.
title yes The service name. If too general, should include a provider or project context. NFDI4Ing JupyterHub provider yes All service providers. University of Stuttgart, Technical University of Darmstadt service_url yes Link address to the entrypoint for users. https://jupyter.nfdi4ing.de support yes Where to get help fokus@izus.uni-stuttgart.de health api_url no Healthcheck URL green / orange / red documentation_url no Link address to service specific documentation target_group_open_for yes Roles, domain, NFDI consortia, University, etc. Researchers of NFDI4Ing login_process yes How is the login performed; Login-URL Login via DFN-AAI & eduGAIN features yes What the services offers -- version yes 1.x or 2.x version of Juyterhub?; classic notebook or lab view? 1.x JupyterHub (classic view) -- kernels no List of provided kernels. Python, Julia, R -- extensions no List of provided server-side / client-side JupyterHub extensions -- proxy_apps no List of server-proxy featured applications. MATLAB IDE -- install yes Whether it is allowed to install further packages, kernels, extensions yes -- shared_folder yes Whether there is a folder to share documents with others false -- persistent_storage yes Whether documents can survice the docker session. true -- misc no List of other features you find relevant, e.g. dynamic image creation resources yes Information about available resources on the instance -- default_server_user no Default number of Jupyter servers per user 1 -- max_server_user yes Maximum number of Jupyter servers per user 5 -- default_cpu no Default number of CPU for a Jupyter server 1 -- max_cpu yes Maximum number of CPU for a Jupyter server 4 -- default_cpu_time no Default CPU time for a Jupyter server 1 h -- max_cpu_time yes Maximum CPU time for a Jupyter server 72 h -- default_memory no Default amount of memory for a Jupyter server 100 MB -- max_memory yes Maximum amount of memory for a Jupyter server 4 GB -- default_gpu no Default number of GPU for a Jupyter server 0 -- max_gpu yes Maximum number of GPU for a Jupyter server 0 -- default_disk no Default amount of disk space (maybe temporary) for a Jupyter server 10 GB -- max_disk yes Maximum amount of disk space (maybe temporary) for a Jupyter server 10 GB -- default_persistent_disk no Default amount of disk space that services a Jupyter session 2 GB -- max_persistent_disk yes Maximum amount of disk space that services a Jupyter session 2 GB"},{"location":"details/GESIS-Notebooks/","title":"GESIS Notebooks","text":"The GESIS Notebooks is provided by GESIS \u2013 Leibniz Institute for the Social Sciences and can be reached here.
"},{"location":"details/GESIS-Notebooks/#short-facts","title":"Short Facts","text":"Service URLhttp://notebooks.gesis.org
Target groupOpen, with a focus on Computational Social Science
Login processOpen
Supportnotebooks@gesis.org
Documentationhttps://the-turing-way.netlify.app/communication/binder/zero-to-binder.html
"},{"location":"details/GESIS-Notebooks/#features","title":"Features","text":"GESIS Notebooks offers:
GeneralKernelsExtensionsVersion(s): JupyterHub 3.0.0-beta.1, BinderHub
Temporarly install new packages by the user
Part of the BinderHub Federation
GESIS Notebooks provides Jupyter servers within the following resource limits:
Resource Default Maximum Number of Jupyter servers per user 1 250 Number of CPUs 1 1 CPU time 20 min 6 h Amount of memory 2 GB 4 GB Number of GPUs 0 0 Disk space 10 GB 10 GB Persistent disk space 0 0"},{"location":"details/RWTH-NFDI-Jupyter-Service/","title":"RWTH HPC JupyterHub","text":"The RWTH HPC JupyterHub is provided by ITC RWTH Aachen University and can be reached here.
"},{"location":"details/RWTH-NFDI-Jupyter-Service/#short-facts","title":"Short Facts","text":"Service URLhttps://jupyterhub.hpc.itc.rwth-aachen.de:9651/
Target groupResearchers, RWTH Students/Employees/Guests, Juelich Members, Users sponsored by other Users, Users upon project application
Login processLogin with RWTH HPC Account through most NHR or NRW VPNs
Supportservicedesk@itc.rwth-aachen.de
Documentationhttps://help.itc.rwth-aachen.de/service/rhr4fjjutttf/article/689934fec5a34c909c54606f6bc2e827/
"},{"location":"details/RWTH-NFDI-Jupyter-Service/#features","title":"Features","text":"RWTH HPC JupyterHub offers:
GeneralKernelsExtensionsWebproxy ApplicationsVersion(s): JupyterHub 3.0+, JupyterLab 3.4.7+
Shared folder exists
Persistent storage
Available computing time (core-hours) vary based on user affiliation or project. Project application is necesary.
Runs on HPC Hardware under Slurm.
Users installs planned, by request only at the moment.
Python 3.9
Octave
R
C++ 11/14/17
Matlab 2022b
Matlab 2020b
Python: Keras
Python: Tensorflow
Python: Tensorboard
Python: Gurobi
Python: Pytorch
ipytree
jupyterlab-drawio
jupyterlab-plotly
jupyterlab_iframe
nbdime-jupyterlab
jupyter-matplotlib
jupyterlab_pygments
jupyterlab/git
jupyterlab/latex
jupyter-widgets/jupyterlab-manager
Matlab 2022b
Matlab 2020b
RWTH HPC JupyterHub provides Jupyter servers within the following resource limits:
Resource Default Maximum Number of Jupyter servers per user 1 5 Number of CPUs 1 48 CPU time 4h 172 h Amount of memory 4 GB 185 GB Number of GPUs 0 2 Disk space 400 GB 1 TB Persistent disk space 400 GB 1 TB"},{"location":"details/gwdg/","title":"Jupyter-Cloud","text":"The Jupyter-Cloud is provided by GWDG and can be reached here.
"},{"location":"details/gwdg/#short-facts","title":"Short Facts","text":"Service URLhttps://jupyter-cloud.gwdg.de
Target groupUsers having a full GWDG account (which can include people working in partner projects)
Login processLogin via Shibboleth (AcademicID - academiccloud.de)
Supportsupport@gwdg.de
Documentationhttps://docs.gwdg.de/doku.php?id=en:services:application_services:jupyter:start
"},{"location":"details/gwdg/#features","title":"Features","text":"Jupyter-Cloud offers:
GeneralKernelsExtensionsVersion(s): JupyterLab 3.5 (via JupyterHub)
Temporarly install new packages by the user
Persistent storage
Based on Jupyter Datascience Notebook image, extended with user-requested data science tools
Python
Julia
R
Bash
git
plotly
matplotlib
Jupyter-Cloud provides Jupyter servers within the following resource limits:
Resource Default Maximum Number of Jupyter servers per user 1 1 Number of CPUs 1 4 CPU time 24 h 24 h Amount of memory 15 GB 15 GB Number of GPUs 0 0 Disk space 10 GB 10 GB Persistent disk space 10 GB 10 GB"},{"location":"details/gwdg_hpc/","title":"SCC Jupyterhub","text":"The SCC Jupyterhub is provided by GWDG and can be reached here.
"},{"location":"details/gwdg_hpc/#short-facts","title":"Short Facts","text":"Service URLhttps://jupyter-hpc.gwdg.de
Target groupUsers with a full GWDG account (including people working in partner projects).
Login processLogin via LDAP
Supporthpc-support@gwdg.de
Documentationhttps://docs.gwdg.de/doku.php?id=en:services:application_services:jupyter:hpc
"},{"location":"details/gwdg_hpc/#features","title":"Features","text":"SCC Jupyterhub offers:
GeneralKernelsExtensionsVersion(s): JupyterHub 1.0.0, Notebook Server 6.0.3
Shared folder exists
Persistent storage
Own directory can be made writable for others.
Project directories are possible (POSIX group members can get acces).
Scratch file system (very fast), and Stornext (slower, for home file system)
Python
R
Bash
SCC Jupyterhub provides Jupyter servers within the following resource limits:
Resource Default Maximum Number of Jupyter servers per user 1 1 Number of CPUs 12 24 CPU time 8h 8h Amount of memory 64GB 128GB Number of GPUs 0 1 Disk space 20 GB 0.5 PB available for all users Persistent disk space None 0.5PB available for all users"},{"location":"details/jupyter-jsc.fz-juelich.de/","title":"Jupyter-JSC","text":"The Jupyter-JSC is provided by Juelich Supercomputing Centre and can be reached here.
"},{"location":"details/jupyter-jsc.fz-juelich.de/#short-facts","title":"Short Facts","text":"Service URLhttps://jupyter-jsc.fz-juelich.de
Target groupHPC users of JSC. Helmholtz users in general
Login processLogin via JSC account or Helmholtz AAI
Supportds-support@fz-juelich.de
Documentationhttps://docs.jupyter-jsc.fz-juelich.de
"},{"location":"details/jupyter-jsc.fz-juelich.de/#features","title":"Features","text":"Jupyter-JSC offers:
GeneralKernelsExtensionsWebproxy ApplicationsVersion(s): JupyterHub 2.3.1 JupyterLab 2.6,3.2,3.3,3.4
Temporarly install new packages by the user
Persistent storage
Start on multiple (external) systems possible (including hpc). Resources depend highly on system
2FA authentication available
WebDAV connection possible
SSL encryption between JupyterLab and JupyterHub
Bash
Cling
JavaScript
Julia
Octave
R
Ruby
PyDeepLearning
PyQuantum
PyVisualization
Custom
Bokeh
JupyterLab Preview
JupyterLab Manager
JupyterLab Sidecar
JupyterLab Git
JupyterLab server proxy
JupyterLab toc
JupyterLab lsp
JupyterLab quickopen
JupyterLab pyviz
JupyterLab Code Formatter
BQPlot
Dask Labextension
IPyVolume
ITKWidgets
Leaflet
Matplotlib
ThreeJS
Vue
Vuetify
JuypterLab Control
JupyterLab Dash
JupyterLab Datawidgets
JupyterLab GitLab
JupyterLab Lmod
JupyterLab plotly
JupyterLab System Monitor
JupyterLAb Theme Toggle
JupyterLab topbar extension
JupyterLab iframe
nbdime
plotlywidget
pvlink
Jupyter Slurm Provisioner
NVDashboard
Jupyter-JSC provides Jupyter servers within the following resource limits:
Resource Default Maximum Number of Jupyter servers per user 1 100 Number of CPUs 2 1024 CPU time 30 min 24 h Amount of memory 96 GB 768 GB Number of GPUs 0 4 Disk space 10 GB None Persistent disk space None None"},{"location":"details/kit-horeka/","title":"HoreKa Jupyterhub","text":"The HoreKa Jupyterhub is provided by Karlsruhe Institute of Technology and can be reached here.
"},{"location":"details/kit-horeka/#short-facts","title":"Short Facts","text":"Service URLhttps://hk-jupyter.scc.kit.edu
Target groupResearchers, Users upon project application, Helmholtz users
Login processLogin through Home Organizations, Helmholtz AAI
Supporthttps://support.nhr.kit.edu
Documentationhttps://www.nhr.kit.edu/userdocs/jupyter
"},{"location":"details/kit-horeka/#features","title":"Features","text":"HoreKa Jupyterhub offers:
GeneralKernelsExtensionsWebproxy ApplicationsVersion(s): Jupyterhub 3.1.1, Jupyterlab 3.4.8
Temporarly install new packages by the user
Shared folder exists
Persistent storage
Available resources and apps may vary based on Cluster
BEEGFS Filesystem can be mounted
LSDF can be mounted
User can install own python kernels
Container integration via pyxis
Python
Julia
R
jupyterlab-lmod
dask-labextension
jupyterlab-git
jupyterlab-latex
jupytext
jupyter-codeserver-proxy
jupyter-desktop-server
HoreKa Jupyterhub provides Jupyter servers within the following resource limits:
Resource Default Maximum Number of Jupyter servers per user 1 1 Number of CPUs 72 72 CPU time None None Amount of memory 237 GB 488 GB Number of GPUs 0 4 Disk space None 800 GB Persistent disk space 10 TB 250 TB"},{"location":"details/mpcdf/","title":"MPCDF JupyterHub","text":"The MPCDF JupyterHub is provided by Max Planck Computing and Data Facility and can be reached here.
"},{"location":"details/mpcdf/#short-facts","title":"Short Facts","text":"Service URLhttps://notebooks.mpcdf.mpg.de
Target groupResearchers of the Max Planck Society
Login processNone
Supportsupport@mpcdf.mpg.de
DocumentationNone
"},{"location":"details/mpcdf/#features","title":"Features","text":"MPCDF JupyterHub offers:
GeneralKernelsVersion(s): JupyterHub 1.x (lab view)
Temporarly install new packages by the user
Python
Julia
R
MPCDF JupyterHub provides Jupyter servers within the following resource limits:
Resource Default Maximum Number of Jupyter servers per user 1 1 Number of CPUs 1 4 CPU time 1 h 72 h Amount of memory 100 MB 4 GB Number of GPUs 0 0 Disk space 10 GB 10 GB Persistent disk space 0 GB 0 GB"},{"location":"details/nfdi4ing/","title":"NFDI4Ing JupyterHub","text":"The NFDI4Ing JupyterHub is provided by University of Stuttgart and can be reached here.
"},{"location":"details/nfdi4ing/#short-facts","title":"Short Facts","text":"Service URLhttps://jupyter.nfdi4ing.de
Target groupResearchers of NFDI4Ing
Login processLogin via Shibboleth (DFN-AAI & eduGAIN federation)
Supportfokus@izus.uni-stuttgart.de
DocumentationNone
"},{"location":"details/nfdi4ing/#features","title":"Features","text":"NFDI4Ing JupyterHub offers:
GeneralKernelsWebproxy ApplicationsVersion(s): JupyterHub 1.x (lab view)
Temporarly install new packages by the user
Persistent storage
WebDAV connection possible
Python
Matlab
Julia
R
NFDI4Ing JupyterHub provides Jupyter servers within the following resource limits:
Resource Default Maximum Number of Jupyter servers per user 1 1 Number of CPUs 1 4 CPU time 1 h 72 h Amount of memory 100 MB 4 GB Number of GPUs 0 0 Disk space 10 GB 10 GB Persistent disk space 2 GB 2 GB"},{"location":"details/pc2-upb/","title":"PC\u00b2 JupyterHub","text":"The PC\u00b2 JupyterHub is provided by Paderborn Center for Parallel Computing, University of Paderborn and can be reached here.
"},{"location":"details/pc2-upb/#short-facts","title":"Short Facts","text":"Service URLhttps://jh.pc2.uni-paderborn.de
Target groupAll users of a computing time project at PC\u00b2
Login processLogin via LDAP
Supportpc2-support@uni-paderborn.de
Documentationhttps://pc2.uni-paderborn.de/go/jh
"},{"location":"details/pc2-upb/#features","title":"Features","text":"PC\u00b2 JupyterHub offers:
GeneralKernelsExtensionsWebproxy ApplicationsVersion(s): JupyterHub 3.1.0, JupyterLab 3.6
Temporarly install new packages by the user
Shared folder exists
Persistent storage
Singularity integration (default + custom container)
Pre-Set Environments
Course functionality
Remote Desktop with Slurm tools and module
Remote Slurm kernel to start only kernels remote on cluster
Direct connection of the cluster parallel filesystem
User home directory for e.g. user-specific packages
Python
Julia
R
jupyterlab-nvdashboard
jupyterlab-lmod
jupyterlab-desktop
jupyterlab-plotly
jupyterlab-pygments
Remote Desktop (noVNC)
Full offered software on clusters with graphical interface (https://pc2.uni-paderborn.de/go/software)
PC\u00b2 JupyterHub provides Jupyter servers within the following resource limits:
Resource Default Maximum Number of Jupyter servers per user 1 10 Number of CPUs None 143872 CPU time None 21 d Amount of memory None 347 TB Number of GPUs None 128 Disk space None 6 PB temporary scratch data (requested on application) Persistent disk space None 185 TB permanent data (requested on application)"},{"location":"details/uni-leipzig/","title":"Webbasiertes Data Science und Machine Learning mit Jupyter","text":"The Webbasiertes Data Science und Machine Learning mit Jupyter is provided by University of Leipzig and can be reached here.
"},{"location":"details/uni-leipzig/#short-facts","title":"Short Facts","text":"Service URLhttps://lab.sc.uni-leipzig.de
Target groupStudents and employees of University of Leipzig
Login processLogin via SC account
Supportsc-request@uni-leipzig.de
Documentationhttps://www.sc.uni-leipzig.de, https://www.urz.uni-leipzig.de/unsere-services/servicedetail/service/webbasiertes-data-science-und-machine-learning-mit-jupyter
"},{"location":"details/uni-leipzig/#features","title":"Features","text":"Webbasiertes Data Science und Machine Learning mit Jupyter offers:
GeneralKernelsExtensionsVersion(s): JupyterHub 3.1.0, JupyterLab 3.5.3
Temporarly install new packages by the user
Shared folder exists
Python 3.11
Python 3.9 OpenCV 4.7
Python 3.9 PyTorch 1.10
Python 3.9 TensorFlow 2.6.2
SageMath 10.0
R 4.2.2
Julia 1.8.5
server-proxy
jupyterlab-manager
webio-jupyterlab-provider
jupyterlab_pygments
jupyterlab_lmod
Webbasiertes Data Science und Machine Learning mit Jupyter provides Jupyter servers within the following resource limits:
Resource Default Maximum Number of Jupyter servers per user 1 1 Number of CPUs 1 8 CPU time 4h 4h Amount of memory 8GB 32GB Number of GPUs 0 1 Disk space None None Persistent disk space None None"},{"location":"details/uni-muenster/","title":"University of M\u00fcnster JupyterHub","text":"The University of M\u00fcnster JupyterHub is provided by University of M\u00fcnster and can be reached here.
"},{"location":"details/uni-muenster/#short-facts","title":"Short Facts","text":"Service URLhttps://jupyterhub.uni-muenster.de
Target groupStudents and employees of University of M\u00fcnster, members of PUNCH4NFDI (soon)
Login processLogin via Shibboleth (DFN-AAI & eduGAIN federation)
SupportNone
DocumentationNone
"},{"location":"details/uni-muenster/#features","title":"Features","text":"University of M\u00fcnster JupyterHub offers:
GeneralKernelsExtensionsWebproxy ApplicationsVersion(s): JupyterHub 3.0, JupyterLab 3.6
Temporarly install new packages by the user
Persistent storage
Available resources and apps may vary based on user affiliation
Sciebo cloud storage integration (beta)
GUI apps via noVNC in browser window
Hosted on Kubernetes cluster
Python
Octave
Julia
R
SageMath
gnuplot
Mathematica
C++
Rust
Go
Scheme
jupyterlab_pygments
ipyparallel-labextension
jupyter-matplotlib
jupyter-threejs
jupyterlab-datawidgets
bqplot
ipysheet
ipyvolume
jupyter-leaflet
jupyter-vue
jupyter-vuetify
jupyter-webrtc
jupyterlab-drawio
jupyterlab-plotly
nglview-js-widgets
jupyterlab-jupytext
jupyterlab-logout
jupyterlab-system-monitor
jupyterlab-topbar-extension
jupyterlab_iframe
nbdime-jupyterlab
@jupyter-widgets/jupyterlab-manager
@jupyter-widgets/jupyterlab-sidecar
@jupyterlab/git
@jupyterlab/server-proxy
@jupyterlab/latex
@jupyterlab/mathjax3-extension
@bokeh/jupyter_bokeh
@agoose77/jupyterlab-markup
@jupyter-server/resource-usage
@lckr/jupyterlab_variableinspector
@ryantam626/jupyterlab_code_formatter
jupyterlab-controlpanel
jupyterlab-helplinks
jupyterlab-theme-toggle
Matlab IDE
RStudio
VS Code
Shiny
Avogadro
Blender
Grace
Mathematica
MaxQuant
OMERO
ParaView
Spyder
TeXstudio
VMD
VoreenVE
University of M\u00fcnster JupyterHub provides Jupyter servers within the following resource limits:
Resource Default Maximum Number of Jupyter servers per user 1 1 Number of CPUs 0.25 2 CPU time 6 h 6 h Amount of memory 1 GB 16 GB Number of GPUs 0 1 Disk space 5 GB 5 GB Persistent disk space 5 GB 5 GB"}]} \ No newline at end of file diff --git a/sitemap.xml b/sitemap.xml new file mode 100644 index 0000000..76e16bc --- /dev/null +++ b/sitemap.xml @@ -0,0 +1,73 @@ + +In total, the collected Jupyter Services provide XXX CPUs and XXX RAM to researchers.
+Currently, on average XXX users use Jupyter per day.
+ + + + + + +To become part of the list of JupyterHub instances of Germany you have to provide a yaml-file with the information listed in the table below. You can check out existing yaml-files and a template you can base on in the data folder. You can also add a logo of your service is the assets folder. When everything is ready, please add a pull request to the main branch of this repository. If you need further assistance or have other questions, do not hesitate to open an issue.
| YAML Key | +Required? | +Description | +Example | +
|---|---|---|---|
title |
+yes | +The service name. If too general, should include a provider or project context. | +NFDI4Ing JupyterHub | +
provider |
+yes | +All service providers. | +University of Stuttgart, Technical University of Darmstadt | +
service_url |
+yes | +Link address to the entrypoint for users. | +https://jupyter.nfdi4ing.de | +
support |
+yes | +Where to get help | +fokus@izus.uni-stuttgart.de | +
health api_url |
+no | +Healthcheck URL | +green / orange / red | +
documentation_url |
+no | +Link address to service specific documentation | ++ |
target_group_open_for |
+yes | +Roles, domain, NFDI consortia, University, etc. | +Researchers of NFDI4Ing | +
login_process |
+yes | +How is the login performed; Login-URL | +Login via DFN-AAI & eduGAIN | +
features |
+yes | +What the services offers | ++ |
-- version |
+yes | +1.x or 2.x version of Juyterhub?; classic notebook or lab view? | +1.x JupyterHub (classic view) | +
-- kernels |
+no | +List of provided kernels. | +Python, Julia, R | +
-- extensions |
+no | +List of provided server-side / client-side JupyterHub extensions | ++ |
-- proxy_apps |
+no | +List of server-proxy featured applications. | +MATLAB IDE | +
-- install |
+yes | +Whether it is allowed to install further packages, kernels, extensions | +yes | +
-- shared_folder |
+yes | +Whether there is a folder to share documents with others | +false | +
-- persistent_storage |
+yes | +Whether documents can survice the docker session. | +true | +
-- misc |
+no | +List of other features you find relevant, e.g. dynamic image creation | ++ |
resources |
+yes | +Information about available resources on the instance | ++ |
-- default_server_user |
+no | +Default number of Jupyter servers per user | +1 | +
-- max_server_user |
+yes | +Maximum number of Jupyter servers per user | +5 | +
-- default_cpu |
+no | +Default number of CPU for a Jupyter server | +1 | +
-- max_cpu |
+yes | +Maximum number of CPU for a Jupyter server | +4 | +
-- default_cpu_time |
+no | +Default CPU time for a Jupyter server | +1 h | +
-- max_cpu_time |
+yes | +Maximum CPU time for a Jupyter server | +72 h | +
-- default_memory |
+no | +Default amount of memory for a Jupyter server | +100 MB | +
-- max_memory |
+yes | +Maximum amount of memory for a Jupyter server | +4 GB | +
-- default_gpu |
+no | +Default number of GPU for a Jupyter server | +0 | +
-- max_gpu |
+yes | +Maximum number of GPU for a Jupyter server | +0 | +
-- default_disk |
+no | +Default amount of disk space (maybe temporary) for a Jupyter server | +10 GB | +
-- max_disk |
+yes | +Maximum amount of disk space (maybe temporary) for a Jupyter server | +10 GB | +
-- default_persistent_disk |
+no | +Default amount of disk space that services a Jupyter session | +2 GB | +
-- max_persistent_disk |
+yes | +Maximum amount of disk space that services a Jupyter session | +2 GB | +