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#experimental-framework

Every repository in the public record carrying this tag — from its GitHub topics or the keywords its package registries publish. Health is measured under the same versioned methodology as the rest of the record.

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PyPI
50Moderatehealth index
brysontang/crystallize
Crystallize is a lightweight Python framework for rigorous, reproducible data science experiments. Define modular pipelines, apply treatments as experimental variations, and verify hypotheses with statistical tests, all with built-in caching, immutability, and parallelism for trustworthy, efficient results.
Python★ 2↓ 634/moJul 17, 2026
Apache-2.0Jul 17, 2026 · metrics 1.13.0