Tea-tasting, a Python package for the statistical analysis of A/B tests
Show HN: Tea-tasting, a Python package for the statistical analysis of A/B tests
Tea-tasting, a Python package for the statistical analysis of A/B tests operates in show hn launch.
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I'm excited to introduce tea-tasting, a Python package for the statistical analysis of A/B testsIt features Student's t-test, Bootstrap, variance reduction using CUPED, power analysis, and other statistical methods.tea-tasting supports a wide range of data backends, including BigQuery, ClickHouse, PostgreSQL, Snowflake, Spark, and more, all thanks to Ibis.I consider it ready for important tasks and use it for the analysis of switchback experiments in my work.
Tea-tasting, a Python package for the statistical analysis of A/B tests is positioned in show hn launch, a segment that rewards a clear, focused offering.
The company is listed at the Show HN launch stage of development.
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Website: e10v.me/tea-tasting-analysis-of-experiments
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