Turn-key machine-learning tools for socio-economic impact

At soda, we really care about have an impact beyond the publication. We have been making high-quality software for many years, and these software have helped shaping the scientific Python world.

Software we maintain

• scikit-learn: machine learning in Python (soda includes a core team dedicated to developing and maintaining scikit-learn)
• joblib: parallelism and checkpointing for Python functions
• skrub: Prepping tables for machine learning