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 a LLM eval & observability product. It focuses on simplifying statistical testing and analysis for scientific research with ready-to-publish results. It is built as an open-source project for scientific researchers and data analysts. scitex-stats is open source under the AGPL-3.0 license. The product ships for the command line and API.
It is developed by Yusuke Watanabe, and the product first shipped in 2026. Development happens publicly on GitHub with 268 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — scitex-stats occupies a relatively distinct niche. Key capabilities include statistical tests, effect size calculation, and power analysis. It exposes integrations via a public API and an MCP server.
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