Renku

Renku is an open‑source platform that combines Git, Docker, and JupyterLab to provide reproducible, collaborative data‑science projects.

What it does

It creates a version‑controlled environment where notebooks, code, data, and computational pipelines are stored together, allowing teams to rerun analyses with the same software stack.

Key features

• Renku UI – web interface for project creation, dataset upload, and pipeline visualization.
• Renku CLI – command‑line tools for initializing projects, managing datasets, and launching pipelines.
• GitLab integration – projects are stored as Git repositories and can use GitLab CI/CD for automated testing.
• Docker‑based execution – each project defines a Docker image that captures the exact runtime environment.
• Data versioning – built‑in support for DVC‑style data tracking, enabling large dataset snapshots.
• JupyterLab notebooks – notebooks run inside the defined Docker image, preserving dependencies.
• Renku Pipelines – visual, YAML‑defined pipelines that can be triggered manually or via CI.

Who it’s for

Researchers in academia, data‑science teams in industry, and developers who need a transparent, reproducible workflow will find Renku useful. It supports Python, R, and Julia, and can be deployed on local servers, cloud instances, or Kubernetes clusters.

Pricing

Renku is released under the Apache 2.0 license and can be installed at no cost. Commercial support and hosted services are offered by the Renku community and partner organizations, but the core platform remains free.