{"adoption": {"forks": 139, "observed_at": "2026-08-28T04:04:53.625491+00:00", "stars": 1496}, "canonical_url": "https://ross.abutalabs.com/products/pygod", "card": {"archived": false, "artifact_type": "library", "description": "A Python Library for Graph Outlier Detection (Anomaly Detection)", "domain": ["machine-learning", "security", "data-science"], "enriched": true, "function": ["machine-learning", "data-science"], "health_score": 25, "homepage": "https://pygod.org", "language": "Python", "license": "BSD-2-Clause", "license_family": "permissive", "maturity": "active", "member_repos": ["pygod-team/pygod"], "name": "pygod-team/pygod", "platform": ["python", "cross-platform"], "pushed_at": "2024-11-14T06:35:15+00:00", "repo": "pygod-team/pygod", "stars": 1496, "tags": ["anomaly-detection", "outlier-detection", "graph-neural-networks", "pytorch", "pytorch-geometric", "fraud-detection", "graph-mining", "algorithms"], "topics": ["outlier-detection", "anomaly-detection", "graph-anomaly-detection", "machine-learning", "security-tools", "opensource", "deeplearning", "python", "graphmining", "pytorch", "graph-neural-networks", "fraud-detection", "toolkit"], "urls": [], "use_cases": ["detect anomalies in graph-structured data", "find fraudulent accounts in social or transaction networks", "detect suspicious nodes in security systems", "run graph neural network based outlier detection in Python", "benchmark graph anomaly detection algorithms", "scale outlier detection to large graphs with mini-batching"], "what_it_is": "PyGOD is a Python library for graph outlier detection (anomaly detection) built on PyTorch and PyTorch Geometric. It provides 10+ graph-based anomaly detection algorithms with a unified API following the PyOD design, supporting node-, edge-, and graph-level detection.", "when_to_avoid": ["your data is tabular with no graph structure (use PyOD instead)", "you need a production serving system rather than a modeling library", "you work outside the PyTorch ecosystem, e.g. TensorFlow or JAX"], "when_to_choose": ["your data is naturally graph-structured and you need anomaly detection", "you want a scikit-learn/PyOD-style unified API over multiple graph detectors", "you already use PyTorch Geometric and want compatible data handling", "you need node-, edge-, or graph-level detection in one toolkit"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/pygod", "repo": "pygod-team/pygod", "role": "main", "score": 23}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.625491+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:33:14.623583+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0a306fd8e780b8084237a8e8fb584bb225a98d690c51a82d2bba9e5d5763d19e", "fetched_at": "2026-08-28T04:04:53.625491+00:00", "kind": "readme", "missing": false, "url": "https://github.com/pygod-team/pygod"}, {"content_hash": "b228bcb52a2a77fff042e83a28ebfbe88ee7f43cd018e06d65bde93e494c483f", "fetched_at": "2026-08-29T11:38:32.609786+00:00", "kind": "homepage", "missing": false, "url": "https://pygod.org"}, {"content_hash": "21998795455c20eff52fd3808940b3d28d91be2bf9f93087cab43f375614c407", "fetched_at": "2026-08-29T11:38:32.612921+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/pygod/json"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.625491+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:33:14.623583+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0a306fd8e780b8084237a8e8fb584bb225a98d690c51a82d2bba9e5d5763d19e", "fetched_at": "2026-08-28T04:04:53.625491+00:00", "kind": "readme", "missing": false, "url": "https://github.com/pygod-team/pygod"}, {"content_hash": "b228bcb52a2a77fff042e83a28ebfbe88ee7f43cd018e06d65bde93e494c483f", "fetched_at": "2026-08-29T11:38:32.609786+00:00", "kind": "homepage", "missing": false, "url": "https://pygod.org"}, {"content_hash": "21998795455c20eff52fd3808940b3d28d91be2bf9f93087cab43f375614c407", "fetched_at": "2026-08-29T11:38:32.612921+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/pygod/json"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:33:14.623583+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0a306fd8e780b8084237a8e8fb584bb225a98d690c51a82d2bba9e5d5763d19e", "fetched_at": "2026-08-28T04:04:53.625491+00:00", "kind": "readme", "missing": false, "url": "https://github.com/pygod-team/pygod"}, {"content_hash": "b228bcb52a2a77fff042e83a28ebfbe88ee7f43cd018e06d65bde93e494c483f", "fetched_at": "2026-08-29T11:38:32.609786+00:00", "kind": "homepage", "missing": false, "url": "https://pygod.org"}, {"content_hash": "21998795455c20eff52fd3808940b3d28d91be2bf9f93087cab43f375614c407", "fetched_at": "2026-08-29T11:38:32.612921+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/pygod/json"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.625491+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.625491+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.625491+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:33:14.623583+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0a306fd8e780b8084237a8e8fb584bb225a98d690c51a82d2bba9e5d5763d19e", "fetched_at": "2026-08-28T04:04:53.625491+00:00", "kind": "readme", "missing": false, "url": "https://github.com/pygod-team/pygod"}, {"content_hash": "b228bcb52a2a77fff042e83a28ebfbe88ee7f43cd018e06d65bde93e494c483f", "fetched_at": "2026-08-29T11:38:32.609786+00:00", "kind": "homepage", "missing": false, "url": "https://pygod.org"}, {"content_hash": "21998795455c20eff52fd3808940b3d28d91be2bf9f93087cab43f375614c407", "fetched_at": "2026-08-29T11:38:32.612921+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/pygod/json"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.625491+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.625491+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:33:14.623583+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0a306fd8e780b8084237a8e8fb584bb225a98d690c51a82d2bba9e5d5763d19e", "fetched_at": "2026-08-28T04:04:53.625491+00:00", "kind": "readme", "missing": false, "url": "https://github.com/pygod-team/pygod"}, {"content_hash": "b228bcb52a2a77fff042e83a28ebfbe88ee7f43cd018e06d65bde93e494c483f", "fetched_at": "2026-08-29T11:38:32.609786+00:00", "kind": "homepage", "missing": false, "url": "https://pygod.org"}, {"content_hash": "21998795455c20eff52fd3808940b3d28d91be2bf9f93087cab43f375614c407", "fetched_at": "2026-08-29T11:38:32.612921+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/pygod/json"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.625491+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.625491+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.625491+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:33:14.623583+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0a306fd8e780b8084237a8e8fb584bb225a98d690c51a82d2bba9e5d5763d19e", "fetched_at": "2026-08-28T04:04:53.625491+00:00", "kind": "readme", "missing": false, "url": "https://github.com/pygod-team/pygod"}, {"content_hash": "b228bcb52a2a77fff042e83a28ebfbe88ee7f43cd018e06d65bde93e494c483f", "fetched_at": "2026-08-29T11:38:32.609786+00:00", "kind": "homepage", "missing": false, "url": "https://pygod.org"}, {"content_hash": "21998795455c20eff52fd3808940b3d28d91be2bf9f93087cab43f375614c407", "fetched_at": "2026-08-29T11:38:32.612921+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/pygod/json"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.625491+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:53.625491+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:33:14.623583+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0a306fd8e780b8084237a8e8fb584bb225a98d690c51a82d2bba9e5d5763d19e", "fetched_at": "2026-08-28T04:04:53.625491+00:00", "kind": "readme", "missing": false, "url": "https://github.com/pygod-team/pygod"}, {"content_hash": "b228bcb52a2a77fff042e83a28ebfbe88ee7f43cd018e06d65bde93e494c483f", "fetched_at": "2026-08-29T11:38:32.609786+00:00", "kind": "homepage", "missing": false, "url": "https://pygod.org"}, {"content_hash": "21998795455c20eff52fd3808940b3d28d91be2bf9f93087cab43f375614c407", "fetched_at": "2026-08-29T11:38:32.612921+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/pygod/json"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:33:14.623583+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0a306fd8e780b8084237a8e8fb584bb225a98d690c51a82d2bba9e5d5763d19e", "fetched_at": "2026-08-28T04:04:53.625491+00:00", "kind": "readme", "missing": false, "url": "https://github.com/pygod-team/pygod"}, {"content_hash": "b228bcb52a2a77fff042e83a28ebfbe88ee7f43cd018e06d65bde93e494c483f", "fetched_at": "2026-08-29T11:38:32.609786+00:00", "kind": "homepage", "missing": false, "url": "https://pygod.org"}, {"content_hash": "21998795455c20eff52fd3808940b3d28d91be2bf9f93087cab43f375614c407", "fetched_at": "2026-08-29T11:38:32.612921+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/pygod/json"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:33:14.623583+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0a306fd8e780b8084237a8e8fb584bb225a98d690c51a82d2bba9e5d5763d19e", "fetched_at": "2026-08-28T04:04:53.625491+00:00", "kind": "readme", "missing": false, "url": "https://github.com/pygod-team/pygod"}, {"content_hash": "b228bcb52a2a77fff042e83a28ebfbe88ee7f43cd018e06d65bde93e494c483f", "fetched_at": "2026-08-29T11:38:32.609786+00:00", "kind": "homepage", "missing": false, "url": "https://pygod.org"}, {"content_hash": "21998795455c20eff52fd3808940b3d28d91be2bf9f93087cab43f375614c407", "fetched_at": "2026-08-29T11:38:32.612921+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/pygod/json"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:33:14.623583+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "0a306fd8e780b8084237a8e8fb584bb225a98d690c51a82d2bba9e5d5763d19e", "fetched_at": "2026-08-28T04:04:53.625491+00:00", "kind": "readme", "missing": false, "url": "https://github.com/pygod-team/pygod"}, {"content_hash": "b228bcb52a2a77fff042e83a28ebfbe88ee7f43cd018e06d65bde93e494c483f", "fetched_at": "2026-08-29T11:38:32.609786+00:00", "kind": "homepage", "missing": false, "url": "https://pygod.org"}, {"content_hash": "21998795455c20eff52fd3808940b3d28d91be2bf9f93087cab43f375614c407", "fetched_at": "2026-08-29T11:38:32.612921+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/pygod/json"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 0, "longevity": 100, "rhythm": 8}, "computed_at": "2026-09-03T02:20:16.233290+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 1749, "days_push": 657, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 23, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}