{"adoption": {"forks": 803, "observed_at": "2026-08-28T04:08:28.714312+00:00", "stars": 3906}, "canonical_url": "https://ross.abutalabs.com/products/pygta5", "card": {"archived": false, "artifact_type": "learning-resource", "description": "Explorations of Using Python to play Grand Theft Auto 5.", "domain": ["reinforcement-learning", "computer-vision", "gaming-tools", "artificial-intelligence", "tutorials"], "enriched": true, "function": ["machine-learning", "deep-learning", "computer-vision", "simulation", "data-generation"], "health_score": 20, "homepage": null, "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["Sentdex/pygta5"], "name": "Sentdex/pygta5", "platform": ["python", "windows"], "pushed_at": "2023-03-08T07:06:53+00:00", "repo": "Sentdex/pygta5", "stars": 3906, "tags": ["self-driving-agent", "gta5", "imitation-learning", "sentdex", "game-ai", "educational", "gpu"], "topics": [], "urls": [], "use_cases": ["learn how to build an AI that plays GTA 5", "train a neural network to drive a car in a game", "collect training data automatically from game instances", "follow a deep learning game-playing tutorial series", "experiment with CNN models like Xception and InceptionResNetv2 for game control", "set up a distributed data collection and training pipeline for game AI"], "what_it_is": "A reboot of Sentdex's project using Python and deep learning to play Grand Theft Auto 5, featuring an AI driver called Charles trained via CNN regression models. It includes a distributed system of data collectors, NPCs, a central server, and a trainer that streams model training live.", "when_to_avoid": ["you need a production-ready self-driving or game-bot framework", "you want a maintained library with stable APIs and releases", "you cannot run GTA 5 on Windows with a GPU"], "when_to_choose": ["you want to learn applied deep learning by making an AI play a game", "you want a reference architecture for automated game data collection and live training", "you enjoyed the original 2017 Python Plays GTA series and want the modern approach"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/pygta5", "repo": "Sentdex/pygta5", "role": "main", "score": 32}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.714312+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-29T18:25:06.732490+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dcae0fd4739af983f789d3385a4da22bbf4be91986c7199da264eeed6db7a745", "fetched_at": "2026-08-28T04:08:28.714312+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Sentdex/pygta5"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.714312+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-29T18:25:06.732490+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dcae0fd4739af983f789d3385a4da22bbf4be91986c7199da264eeed6db7a745", "fetched_at": "2026-08-28T04:08:28.714312+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Sentdex/pygta5"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-29T18:25:06.732490+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dcae0fd4739af983f789d3385a4da22bbf4be91986c7199da264eeed6db7a745", "fetched_at": "2026-08-28T04:08:28.714312+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Sentdex/pygta5"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.714312+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.714312+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.714312+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-29T18:25:06.732490+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dcae0fd4739af983f789d3385a4da22bbf4be91986c7199da264eeed6db7a745", "fetched_at": "2026-08-28T04:08:28.714312+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Sentdex/pygta5"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.714312+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.714312+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-29T18:25:06.732490+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dcae0fd4739af983f789d3385a4da22bbf4be91986c7199da264eeed6db7a745", "fetched_at": "2026-08-28T04:08:28.714312+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Sentdex/pygta5"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.714312+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.714312+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.714312+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-29T18:25:06.732490+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dcae0fd4739af983f789d3385a4da22bbf4be91986c7199da264eeed6db7a745", "fetched_at": "2026-08-28T04:08:28.714312+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Sentdex/pygta5"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.714312+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:08:28.714312+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-29T18:25:06.732490+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dcae0fd4739af983f789d3385a4da22bbf4be91986c7199da264eeed6db7a745", "fetched_at": "2026-08-28T04:08:28.714312+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Sentdex/pygta5"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-29T18:25:06.732490+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dcae0fd4739af983f789d3385a4da22bbf4be91986c7199da264eeed6db7a745", "fetched_at": "2026-08-28T04:08:28.714312+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Sentdex/pygta5"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-29T18:25:06.732490+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dcae0fd4739af983f789d3385a4da22bbf4be91986c7199da264eeed6db7a745", "fetched_at": "2026-08-28T04:08:28.714312+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Sentdex/pygta5"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-29T18:25:06.732490+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "dcae0fd4739af983f789d3385a4da22bbf4be91986c7199da264eeed6db7a745", "fetched_at": "2026-08-28T04:08:28.714312+00:00", "kind": "readme", "missing": false, "url": "https://github.com/Sentdex/pygta5"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 35}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": ["no_releases"], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3437, "days_push": 1274, "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}}