Observed since 20 Oct, 17:46 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
A Python package for accelerating data-driven experiments and analysis, including time-series forecasting and model selection
⚠ 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
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.3.0 | 11 May 2026 | 24 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 17:46 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:db7a667d310c4a2ccd442f4f081fc26cfd5c6cd8383d054abd83d74d43f4e364