A Python library for the Renku collaborative data science platform. It allows the user to create projects, manage datasets, and capture data provenance while performing analysis tasks.

NOTE:

renku-python is the python library for Renku that provides an SDK and a command-line interface (CLI). It does not start the Renku platform itself -for that, refer to the Renku docs on running the platform.

The latest release is available on PyPI and can be installed using pip:

$ pip install renku

The latest code can be installed directly from the Git repository:

$ pip install -e git+https://github.com/SwissDataScienceCenter/renku-python.git#egg=renku

Initialize a renku project:

$ mkdir -p ~/temp/my-renku-project
$ cd ~/temp/my-renku-project
$ renku init

Create a dataset and add data to it:

$ renku dataset create my-dataset
$ renku dataset add my-dataset https://raw.githubusercontent.com/SwissDataScienceCenter/renku-python/master/README.rst

Run an analysis:

$ renku run wc < data/my-dataset/README.rst > wc_readme

Trace the data provenance:

$ renku log wc_readme

These are the basics, but there is much more that Renku allows you to do with your data analysis workflows. The full documentation will soon be available at: https://renku-python.readthedocs.io/