Projects using Jupyter
- Syngenta Toxicology
- Internal use of standalone notebooks. Developers use it to show results to scientists. Scientists do not currently run the notebooks themselves.
- INCORE
- Jupyter Hub / Jupyter Lab
- Jupyter notebooks for sharing research among researchers
- Jupyter notebooks for sharing how to use IN-CORE
- DESaccess
- Individual JupyterLab server deployments are launched by each user, providing a Jupyter environment with close access to the DES survey data.
- Kubernetes Python API is used to manage the per-user JupyterLab server deployments
- Persistent storage is mounted to the JupyterLab servers so that people can destroy and recreate their server without losing data, and they can also install modules via pip or conda that persist across deployments
- Geostreams
- Jupyter notebooks for scientists to use the geostreams API
- KnowEnG
- Jupyter Hub instance open to public for power users to run algorithms, as an alternative to the KnowEnG SPA. Runs on autoscaling kubernetes cluster on AWS with cilogon.
- College of Medicine Data Science Projects
- Several Google Colab notebooks for student use. Students can run notebooks, copy and modify for their own use.
- EarthCube: https://github.com/earthcube2020
- Open OnDemand - launcher for Jupyter on HPC systems
- Available on iForge, HAL and other systems soon
- Multiple conda environments can used to provide sets of package for specific projects/activities
- User are able to create custom conda environments