PySR
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Overview
HEALTH SCORE
Excellent*
Partial score (2/3 categories)
56out of 65
Strong maintainer coverage. Development cadence is the only remaining gap. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Excellent*(56/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 0 days.
Bus factor
9 active maintainers currently have merge rights.
Organization Diversity
Contributors span 95 organizations.
Project Achievements
Leaderboards
About
PySR is a symbolic regression tool that uses genetic programming to discover mathematical expressions from data. It can find simple, interpretable equations from complex datasets by optimizing both accuracy and simplicity, making it useful for scientific discovery and machine learning applications.
First commit
Software value
$500K
Tags
algorithm
automl
data-science
distributed-systems
equation-discovery
evolutionary-algorithms
explainable-ai
genetic-algorithm
interpretable-ml
julia
machine-learning
python
scikit-learn
symbolic
symbolic-regression
License(s)
Apache-2.0
Data sources
Git
GitHub