heal-research / operon
C++ Large Scale Genetic Programming
Why this job: works in the areas we cover, but does not say which job it does
What it does
Its main purpose is to help develop accurate and interpretable white-box models in the area of system identification. More in-depth documentation is available at heal-research.github.io/operon.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 10 days ago
- Stars
- 226
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- C++
- 94% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 93% closed
- 3 still open
- Pull requests
- 188 merged
- 4 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics, project record and preview image
Languages
- C++ 94%
- CMake 3%
- Python 2%
- C <1%
Topics
- genetic-programming
- symbolic-regression
- cpp17
- cpp
- genetic-algorithm
- cmake
- python
- mathematical-expressions
- python-bindings
- vcpkg
- optimization-algorithms
- machine-learning
Project record
- JobOther AI tools
- StatusListed
- Commits1,875
- Forks42
- Watching9
- Stars in 28 days+3
- CreatedSep 10, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026