Renku is a platform that bundles together various 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.

Renku promotes reproducibility by providing tools to track your analysis workflows and save them together with your versioned data, code, and environment specification. Every result can be replayed either to repeat a calculation or to re-execute on new data or with a different choice of parameters.

Renku encourages reusability by storing and querying the connections between datasets, code executions, and results in a Knowledge Graph. Producers and consumers of analysis artifacts can always recover the full provenance of a result, establishing trust and reducing boilerplate.

Renku stimulates collaboration among peers and across disciplines by guaranteeing that a media-rich discussion space and fully configured, shareable interactive computational environments are always just a click away. Collaborators can easily work on projects together or in parallel, combining their work in a systematic and safe manner.

Cite this entry: "Renku," in Open Access resources, June 30, 2022,