RENKU (連句)
The Renku Project provides a platform and tools for reproducible and collaborative data analysis projects. It is aimed at independent researchers and data scientists as well as labs, collaborations, and courses and workshops. Renku can be used by anyone who deals with data, whether they are a researcher, data analyst, project owner, or data provider.
It consists of:
- Renkulab, a web-based platform designed to facilitate collaboration, reproducibility, and discovery.
- Renku, a command-line interface (CLI) (docs, repo) for managing code, datasets, and workflows that you can use on Renkulab or install locally.
A public instance of Renkulab is available at https://renkulab.io, and several other deployments at various institutions. Go ahead - log in, try it out, and let us know what you think! You can follow the first_steps tutorial in python or R or continue reading about the Renku project.
If you are looking for detailed renku command-line interface (CLI) documentation, consult the renku-python docs.
Project structure
The Renku project consists of several sub-repositories:
- renku-gateway: a simple API gateway
- renku-graph: Knowledge Graph services
- renku-notebooks: a lightweight service for handling interactive notebooks through JupyterHub
- renku-jupyter: base images for interactive sessions
- renku-python: the Python CLI, SDK, and core backend service
- renku-ui: web front-end
Contributing
We're happy to receive contributions of all kinds, whether it is an idea for a new feature, a bug report or a pull request!
Please review our contributing guidelines before submitting a pull request.
Get in touch
- discourse: questions concerning renkulab or renku CLI usage, release notes
- github & renku (CLI): create platform-usability and software-bug issues
- gitter: communicate with the team
Renku is developed as an open source project by the Swiss Data Science Center in a team split between EPFL and ETHZ.
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