A Python package for accelerating data-driven experiments and analysis, including time-series forecasting and model selection
Project description
abvelocity
⚠ Alpha — early development.
This library is in active early development. It is not yet ready for production use and comes with no warranty — use at your own discretion. Estimated Beta release timeline: ~September 2026.
Bug reports via GitHub issues are welcome. Fixes may take time at this early stage.
A library to increase experimentation velocity. The main current supported tooling is called "Multi-Experiment Analysis (MEA)".
MEA allows us to analyze multiple concurrent orthogonal experiments.
See What is MEA?
See MEA Report
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