trevorstephens / gplearn
Genetic Programming in Python, with a scikit-learn inspired API
Why this job: works in the areas we cover, but does not say which job it does
What it does
While Genetic Programming (GP) can be used to perform a very wide variety of tasks _, gplearn is purposefully constrained to solving symbolic regression problems. This is motivated by the scikit-learn ethos, of having powerful estimators that are straight-forward to implement.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 10 months ago
- Stars
- 1,897
- On GitHub
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.4.3
- Released 10 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 93% closed
- 16 still open
- Pull requests
- 76 merged
- 1 waiting
- Releases
- 2
- 1 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| apachecn / sklearn-doc-zh | 5,235 | 2 months ago | Custom | No downloads |
| astroautomata / PySR | 4,273 | 15 days ago | Apache-2.0 | No downloads |
| heal-research / operon | 226 | 10 days ago | MIT | No downloads |
More: languages, topics, project record and preview image
Languages
- Python 100%
Topics
- genetic-programming
- machine-learning
- python
- scikit-learn
- symbolic-regression
Project record
- JobOther AI tools
- StatusListed
- Commits170
- Forks326
- Watching54
- Stars in 28 days+4
- CreatedMar 26, 2015
- First seen by usNov 7, 2026
- CheckedNov 8, 2026