{"adoption": {"forks": 127, "observed_at": "2026-08-28T04:04:36.256652+00:00", "stars": 1393}, "canonical_url": "https://ross.abutalabs.com/products/di-star", "card": {"archived": false, "artifact_type": "framework", "description": "An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.", "domain": ["reinforcement-learning", "artificial-intelligence", "deep-learning", "gaming-tools"], "enriched": true, "function": ["reinforcement-learning", "deep-learning", "machine-learning", "agent-framework", "llm-training"], "health_score": 27, "homepage": null, "language": "Python", "license": "Apache-2.0", "license_family": "permissive", "maturity": "maintenance", "member_repos": ["opendilab/DI-star"], "name": "opendilab/DI-star", "platform": ["windows", "python"], "pushed_at": "2025-03-13T10:36:57+00:00", "repo": "opendilab/DI-star", "stars": 1393, "tags": ["starcraft2", "self-play", "distributed-training", "game-ai", "league-training", "pytorch", "game-development", "linux", "macos", "gpu"], "topics": ["reinforcment-learning", "starcraft2", "self-play", "artificial-intelligence", "deep-learning", "league", "deep-reinforcement-learning"], "urls": [], "use_cases": ["train a StarCraft II AI agent with reinforcement learning", "run large-scale self-play distributed training for game AI", "play against a pre-trained grand-master StarCraft II bot", "reproduce AlphaStar-style league training on a budget", "do supervised learning from StarCraft II replays", "research multi-agent reinforcement learning in a real-time strategy game"], "what_it_is": "DI-star is a large-scale distributed training platform for building StarCraft II game AI, including supervised and reinforcement learning training code and pre-trained grand-master-level Zerg agents. It lets researchers train agents via self-play and play against the released models.", "when_to_avoid": ["you need a general-purpose RL library not tied to StarCraft II", "you want agents for other StarCraft II races than Zerg vs Zerg", "you lack a GPU or a StarCraft II installation", "you need actively developed features or newer game patch support"], "when_to_choose": ["you want to train or evaluate deep RL agents specifically for StarCraft II", "you need a reference implementation of AlphaStar-style league/self-play training", "you want to play against a strong pre-trained SC2 agent"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/di-star", "repo": "opendilab/DI-star", "role": "main", "score": 37}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.256652+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:39:29.931585+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7cd020bee034cb273266cb77a8efdcee5fba39b85c769b211a5890bbb3a12a5e", "fetched_at": "2026-08-28T04:04:36.256652+00:00", "kind": "readme", "missing": false, "url": "https://github.com/opendilab/DI-star"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.256652+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:39:29.931585+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7cd020bee034cb273266cb77a8efdcee5fba39b85c769b211a5890bbb3a12a5e", "fetched_at": "2026-08-28T04:04:36.256652+00:00", "kind": "readme", "missing": false, "url": "https://github.com/opendilab/DI-star"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:39:29.931585+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7cd020bee034cb273266cb77a8efdcee5fba39b85c769b211a5890bbb3a12a5e", "fetched_at": "2026-08-28T04:04:36.256652+00:00", "kind": "readme", "missing": false, "url": "https://github.com/opendilab/DI-star"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.256652+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.256652+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.256652+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:39:29.931585+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7cd020bee034cb273266cb77a8efdcee5fba39b85c769b211a5890bbb3a12a5e", "fetched_at": "2026-08-28T04:04:36.256652+00:00", "kind": "readme", "missing": false, "url": "https://github.com/opendilab/DI-star"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.256652+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.256652+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:39:29.931585+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7cd020bee034cb273266cb77a8efdcee5fba39b85c769b211a5890bbb3a12a5e", "fetched_at": "2026-08-28T04:04:36.256652+00:00", "kind": "readme", "missing": false, "url": "https://github.com/opendilab/DI-star"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.256652+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.256652+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.256652+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:39:29.931585+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7cd020bee034cb273266cb77a8efdcee5fba39b85c769b211a5890bbb3a12a5e", "fetched_at": "2026-08-28T04:04:36.256652+00:00", "kind": "readme", "missing": false, "url": "https://github.com/opendilab/DI-star"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.256652+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:36.256652+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:39:29.931585+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7cd020bee034cb273266cb77a8efdcee5fba39b85c769b211a5890bbb3a12a5e", "fetched_at": "2026-08-28T04:04:36.256652+00:00", "kind": "readme", "missing": false, "url": "https://github.com/opendilab/DI-star"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:39:29.931585+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7cd020bee034cb273266cb77a8efdcee5fba39b85c769b211a5890bbb3a12a5e", "fetched_at": "2026-08-28T04:04:36.256652+00:00", "kind": "readme", "missing": false, "url": "https://github.com/opendilab/DI-star"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:39:29.931585+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7cd020bee034cb273266cb77a8efdcee5fba39b85c769b211a5890bbb3a12a5e", "fetched_at": "2026-08-28T04:04:36.256652+00:00", "kind": "readme", "missing": false, "url": "https://github.com/opendilab/DI-star"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:39:29.931585+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "7cd020bee034cb273266cb77a8efdcee5fba39b85c769b211a5890bbb3a12a5e", "fetched_at": "2026-08-28T04:04:36.256652+00:00", "kind": "readme", "missing": false, "url": "https://github.com/opendilab/DI-star"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 11, "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": 1886, "days_push": 538, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 37, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}