Patsy
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Overview
HEALTH SCORE
Fair
57out of 100
Maintainer coverage drags the score down. Security posture and development cadence help keep it from falling further.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Fair(57/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
No PRs or issues were opened in the review window, so response time could not be measured.
Bus factor
Only 1 active maintainer currently has merge rights.
Organization Diversity
Contributors span 12 organizations.
Project Achievements
Leaderboards
About
Patsy is a Python library for describing statistical models and building design matrices, particularly for use with linear models, generalized linear models, and other regression models. It provides a powerful formula mini-language similar to R's formulas for specifying models.
First commit
Software value
$472K
License(s)
Other
Links
Data sources
Git
GitHub