rigor-mcp added to PyPI
Source: Pypi.org· August 18, 2026
SynaBot summary
A new Python library, rigor-mcp, is now available on PyPI. It offers tools for statistical inference, including hypothesis testing and multiple comparisons correction, accessible via a command-line interface or a dedicated server.
Key takeaways
- New Python library for statistical rigor in AI
- Supports hypothesis testing and effect size calculation
- Includes tools for power analysis and multiple comparisons
- Offers CLI and server-based access for integration
Why it matters
Developers building AI agents can now more rigorously evaluate their models' performance and ensure the reliability of their findings. This library helps in making data-driven decisions and avoiding common statistical pitfalls in AI development.
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