{"id":13936614,"url":"https://github.com/CodeReclaimers/neat-python","last_synced_at":"2025-07-19T22:31:10.060Z","repository":{"id":1627674,"uuid":"43226304","full_name":"CodeReclaimers/neat-python","owner":"CodeReclaimers","description":"Python implementation of the NEAT neuroevolution algorithm","archived":false,"fork":false,"pushed_at":"2024-05-23T14:34:59.000Z","size":2256,"stargazers_count":1426,"open_issues_count":130,"forks_count":496,"subscribers_count":74,"default_branch":"master","last_synced_at":"2024-11-26T07:05:27.579Z","etag":null,"topics":["neuroevolution","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/CodeReclaimers.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":".github/FUNDING.yml","license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null},"funding":{"github":"CodeReclaimers"}},"created_at":"2015-09-26T22:59:53.000Z","updated_at":"2024-11-25T14:34:18.000Z","dependencies_parsed_at":"2023-07-05T18:49:26.462Z","dependency_job_id":"2ebc6c60-f117-4ae5-a979-75f7c0e8fb62","html_url":"https://github.com/CodeReclaimers/neat-python","commit_stats":{"total_commits":635,"total_committers":24,"mean_commits":"26.458333333333332","dds":0.5952755905511811,"last_synced_commit":"4928381317213ee3285204ae1f2a086286aa3a10"},"previous_names":[],"tags_count":6,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeReclaimers%2Fneat-python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeReclaimers%2Fneat-python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeReclaimers%2Fneat-python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeReclaimers%2Fneat-python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CodeReclaimers","download_url":"https://codeload.github.com/CodeReclaimers/neat-python/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":226686729,"owners_count":17666928,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["neuroevolution","python"],"created_at":"2024-08-07T23:02:50.939Z","updated_at":"2024-11-27T04:31:15.323Z","avatar_url":"https://github.com/CodeReclaimers.png","language":"Python","readme":"[![Build Status](https://app.travis-ci.com/CodeReclaimers/neat-python.svg?branch=master)](https://app.travis-ci.com/github/CodeReclaimers/neat-python)\n[![Coverage Status](https://coveralls.io/repos/CodeReclaimers/neat-python/badge.svg?branch=master\u0026service=github)](https://coveralls.io/github/CodeReclaimers/neat-python?branch=master)\n[![Downloads](https://static.pepy.tech/personalized-badge/neat-python?period=total\u0026units=international_system\u0026left_color=grey\u0026right_color=blue\u0026left_text=Downloads)](https://pepy.tech/project/neat-python)\n\n## About ##\n\nNEAT (NeuroEvolution of Augmenting Topologies) is a method developed by Kenneth O. Stanley for evolving arbitrary neural\nnetworks. This project is a pure-Python implementation of NEAT with no dependencies beyond the standard library. It was\nforked from the excellent project by @MattKallada.\n\nFor further information regarding general concepts and theory, please see the \n[Selected Publications](http://www.cs.ucf.edu/~kstanley/#publications) on Stanley's page at the University of Central \nFlorida (now somewhat dated), or the [publications page](https://www.kenstanley.net/papers) of his current website.\n\n`neat-python` is licensed under the [3-clause BSD license](https://opensource.org/licenses/BSD-3-Clause).  It is\ncurrently only supported on Python 3.6 through 3.11, and pypy3.\n\n## Getting Started ##\n\nIf you want to try neat-python, please check out the repository, start playing with the examples (`examples/xor` is\na good place to start) and then try creating your own experiment.\n\nThe documentation is available on [Read The Docs](http://neat-python.readthedocs.io).\n\n## Citing ##\n\nHere are APA and Bibtex entries you can use to cite this project in a publication. The listed authors are the originators\nand/or maintainers of all iterations of the project up to this point.  If you have contributed and would like your name added \nto the citation, please submit an issue or email alan@codereclaimers.com.\n\nAPA\n```\nMcIntyre, A., Kallada, M., Miguel, C. G., Feher de Silva, C., \u0026 Netto, M. L. neat-python [Computer software]\n```\n\nBibtex\n```\n@software{McIntyre_neat-python,\nauthor = {McIntyre, Alan and Kallada, Matt and Miguel, Cesar G. and Feher de Silva, Carolina and Netto, Marcio Lobo},\ntitle = {{neat-python}}\n}\n```\n\n## Thank you! ##\nMany thanks to the folks who have [cited this repository](https://scholar.google.com/scholar?start=0\u0026hl=en\u0026as_sdt=5,34\u0026sciodt=0,34\u0026cites=15315010889003730796\u0026scipsc=) in their own work. \n","funding_links":["https://github.com/sponsors/CodeReclaimers"],"categories":["Python"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FCodeReclaimers%2Fneat-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FCodeReclaimers%2Fneat-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FCodeReclaimers%2Fneat-python/lists"}