KaizenStat is a student-led, open source Python ML framework built for one purpose: making machine learning easy to learn, debug, and understand.

Our name reflects our philosophy. Kaizen means continuous improvement. Stat means data, statistics, and analytical thinking. KaizenStat is what happens when both meet in code.

We noticed a pattern. Students could run models. But they could not explain what was happening inside them. Libraries were powerful but silent. Pipelines failed with no useful feedback. Debugging felt like guessing.

So we built the tools we wished existed.

KaizenStat v0.6 is a Python framework with a single entry point, DataDoctor, that runs your full ML pipeline and explains every step. Data health scoring, automatic fixes, model training, validation, debugging, and NLP support. All in one place. All readable. All open source.


pip install kaizenstat
We also run KaizenStat Summer of Computation (KSoC), an open source program connecting students to real ML projects and meaningful contributions.

Built by three students. Masuddar Rahaman, Kriti Sharma, and Abhishikta Dutta. Apache 2.0 licensed. Growing every week.

If your model cannot explain itself, neither can you. We are fixing that.

GitHub: github.com/kaizenstat-python/KaizenStat
Docs: kaizenstat.com/docs
Community: kaizenstat.com

KaizenStat

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KaizenStat

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