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trevorstephens/gplearn

Genetic Programming in Python, with a scikit-learn inspired API observed · 2026-08-28

github.com/trevorstephens/gplearn · homepage · Python · BSD-3-Clause (permissive) observed · 2026-08-28

Health v2 · maintenance only

75/100

  • Activity 97
  • Release rhythm 33
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4179
  • days_rel: 238
  • days_push: 19
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

1881 stars · 326 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

gplearn is a Python library implementing genetic programming with a scikit-learn compatible API, focused on symbolic regression. It provides SymbolicRegressor, SymbolicClassifier, and SymbolicTransformer estimators that fit into standard scikit-learn pipelines and grid search.

Use cases

  • discover mathematical formulas that fit my data
  • symbolic regression in python
  • evolve interpretable models instead of black-box regressors
  • automated feature engineering with genetic programming
  • binary classification with evolved expressions
  • integrate genetic programming into a scikit-learn pipeline

When to choose

  • you want interpretable mathematical expressions rather than opaque models
  • you need scikit-learn fit/predict compatibility for pipelines and grid search
  • you want automated non-linear feature transformation

When to avoid

  • you need general-purpose genetic programming beyond symbolic regression
  • you need state-of-the-art predictive accuracy on large noisy datasets
  • you need GPU acceleration or very fast training

Facets

library · maturity stable

machine-learning data-science machine-learning data-science python genetic-programming symbolic-regression scikit-learn evolutionary-algorithms feature-engineering

2 sources

Member repositories

RepositoryRoleHealth v2
trevorstephens/gplearnmain75

For agents

markdown · JSON · MCP: product_card(name="trevorstephens/gplearn")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem