Introducing dataprism - open-source EDA goes public

pip install dataprism

We just open-sourced dataprism. A Python EDA library built for how data work happens now, not a decade ago.

Most EDA tools assume you're sitting in a Jupyter notebook, clicking through HTML reports, eyeballing distributions one at a time. They were never designed for multi-source datasets, AI agents or production pipelines.

dataprism is.

We put it up against 5 popular EDA tools. The comparison table speaks for itself. Here's what it does that no other EDA tool offers out of the box:

1. Predictive power analysis - know which features matter before you model
2. Drift detection - catch when your data shifts over time or between splits
3. Data quality scoring - one number to tell how clean your data really is
4. Multi-source support - built for datasets stitched from multiple providers
5. Schema-aware - define data once, analyze it consistently every time
6. Structured JSON - built for AI agents & pipelines, not just dashboards
7. Interactive explorer - when you do want to look, it's all there in one page

dataprism is open source under MIT. This is day one.

Try it. Break it. Star it. Contribute to it.

GitHub: https://github.com/lattiq/dataprism

Hardik Katyarmal

Writes on data strategy, privacy-preserving tech, and ecosystem intelligence at LattIQ.