{"adoption": {"forks": 453, "observed_at": "2026-08-28T04:04:09.784974+00:00", "stars": 1259}, "canonical_url": "https://ross.abutalabs.com/products/geneticalgorithmswithpython", "card": {"archived": false, "artifact_type": "learning-resource", "description": "source code from the book Genetic Algorithms with Python by Clinton Sheppard", "domain": ["machine-learning", "education", "tutorials"], "enriched": true, "function": ["machine-learning", "developer-tools"], "health_score": 20, "homepage": null, "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["handcraftsman/GeneticAlgorithmsWithPython"], "name": "handcraftsman/GeneticAlgorithmsWithPython", "platform": ["python", "cross-platform"], "pushed_at": "2022-10-17T21:49:44+00:00", "repo": "handcraftsman/GeneticAlgorithmsWithPython", "stars": 1259, "tags": ["genetic-algorithms", "book-source-code", "evolutionary-computation", "optimization", "tutorials", "algorithms"], "topics": ["genetic-algorithms", "python", "python3"], "urls": [], "use_cases": ["learn genetic algorithms in python", "find source code for the genetic algorithms with python book", "tutorial on solving optimization problems with evolutionary algorithms", "example implementations of the 8 queens puzzle and graph coloring", "introduction to genetic programming with python"], "what_it_is": "Source code repository accompanying the book 'Genetic Algorithms with Python' by Clinton Sheppard. It provides step-by-step tutorial projects that teach genetic algorithms and genetic programming through hands-on Python examples.", "when_to_avoid": ["you need a production-ready genetic algorithm library or framework", "you want modern maintained tooling - the code is book companion material", "you need other machine learning techniques like neural networks or deep learning"], "when_to_choose": ["you want a hands-on, tutorial-driven introduction to genetic algorithms in Python", "you prefer learning through small example projects like password guessing, sorting, and the 8 queens puzzle", "you want reference implementations to adapt to your own optimization problems"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/geneticalgorithmswithpython", "repo": "handcraftsman/GeneticAlgorithmsWithPython", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:09.784974+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T05:05:30.029615+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "69c304aadf269cf8bbd3bd7c62b6700088570ec6ec0fee927a0fdb401b5b21ad", "fetched_at": "2026-08-28T04:04:09.784974+00:00", "kind": "readme", "missing": false, "url": "https://github.com/handcraftsman/GeneticAlgorithmsWithPython"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:09.784974+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T05:05:30.029615+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "69c304aadf269cf8bbd3bd7c62b6700088570ec6ec0fee927a0fdb401b5b21ad", "fetched_at": "2026-08-28T04:04:09.784974+00:00", "kind": "readme", "missing": false, "url": "https://github.com/handcraftsman/GeneticAlgorithmsWithPython"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T05:05:30.029615+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "69c304aadf269cf8bbd3bd7c62b6700088570ec6ec0fee927a0fdb401b5b21ad", "fetched_at": "2026-08-28T04:04:09.784974+00:00", "kind": "readme", "missing": false, "url": "https://github.com/handcraftsman/GeneticAlgorithmsWithPython"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:09.784974+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:09.784974+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:09.784974+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T05:05:30.029615+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "69c304aadf269cf8bbd3bd7c62b6700088570ec6ec0fee927a0fdb401b5b21ad", "fetched_at": "2026-08-28T04:04:09.784974+00:00", "kind": "readme", "missing": false, "url": "https://github.com/handcraftsman/GeneticAlgorithmsWithPython"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:09.784974+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:09.784974+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T05:05:30.029615+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "69c304aadf269cf8bbd3bd7c62b6700088570ec6ec0fee927a0fdb401b5b21ad", "fetched_at": "2026-08-28T04:04:09.784974+00:00", "kind": "readme", "missing": false, "url": "https://github.com/handcraftsman/GeneticAlgorithmsWithPython"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:09.784974+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:09.784974+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:09.784974+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T05:05:30.029615+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "69c304aadf269cf8bbd3bd7c62b6700088570ec6ec0fee927a0fdb401b5b21ad", "fetched_at": "2026-08-28T04:04:09.784974+00:00", "kind": "readme", "missing": false, "url": "https://github.com/handcraftsman/GeneticAlgorithmsWithPython"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:09.784974+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:09.784974+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T05:05:30.029615+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "69c304aadf269cf8bbd3bd7c62b6700088570ec6ec0fee927a0fdb401b5b21ad", "fetched_at": "2026-08-28T04:04:09.784974+00:00", "kind": "readme", "missing": false, "url": "https://github.com/handcraftsman/GeneticAlgorithmsWithPython"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T05:05:30.029615+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "69c304aadf269cf8bbd3bd7c62b6700088570ec6ec0fee927a0fdb401b5b21ad", "fetched_at": "2026-08-28T04:04:09.784974+00:00", "kind": "readme", "missing": false, "url": "https://github.com/handcraftsman/GeneticAlgorithmsWithPython"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T05:05:30.029615+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "69c304aadf269cf8bbd3bd7c62b6700088570ec6ec0fee927a0fdb401b5b21ad", "fetched_at": "2026-08-28T04:04:09.784974+00:00", "kind": "readme", "missing": false, "url": "https://github.com/handcraftsman/GeneticAlgorithmsWithPython"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T05:05:30.029615+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "69c304aadf269cf8bbd3bd7c62b6700088570ec6ec0fee927a0fdb401b5b21ad", "fetched_at": "2026-08-28T04:04:09.784974+00:00", "kind": "readme", "missing": false, "url": "https://github.com/handcraftsman/GeneticAlgorithmsWithPython"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3583, "days_push": 1416, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 32, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}