scitex-stats is an open-source statistical testing framework for Python, providing 25 statistical tests, effect size calculations, power analysis, and MCP server integration. It is designed for scientific researchers and analysts needing publication-ready statistical results.
scitex-stats is an Other data science & ML project. It focuses on simplifying statistical testing and analysis for scientific research with ready-to-publish results. scitex-stats is an open-source project aimed at scientific researchers and data analysts. scitex-stats is open source under the AGPL-3.0 license. It ships for the command line and API.
Behind scitex-stats is Yusuke Watanabe, and it first shipped in 2026. Development happens publicly on GitHub with 268 commits in the last 90 days. Key capabilities include statistical tests, effect size calculation, and power analysis. It exposes integrations via a public API and an MCP server.
Summary written by a language model from the project’s public pages.
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