{"adoption": {"forks": 1560, "observed_at": "2026-08-28T04:06:10.726518+00:00", "stars": 2075}, "canonical_url": "https://ross.abutalabs.com/products/thinkbayes2", "card": {"archived": false, "artifact_type": "learning-resource", "description": "Text and code for the second edition of Think Bayes, by Allen Downey.", "domain": ["education", "data-science", "tutorials"], "enriched": true, "function": ["data-science", "math"], "health_score": 77, "homepage": "http://allendowney.github.io/ThinkBayes2/", "language": "Jupyter Notebook", "license": "MIT", "license_family": "permissive", "maturity": "stable", "member_repos": ["AllenDowney/ThinkBayes2"], "name": "AllenDowney/ThinkBayes2", "platform": ["python", "cross-platform"], "pushed_at": "2026-07-27T19:18:46+00:00", "repo": "AllenDowney/ThinkBayes2", "stars": 2075, "tags": ["bayesian-statistics", "jupyter-notebooks", "free-book", "statistics", "probabilistic-programming"], "topics": ["jupyter", "python", "bayes", "bayesian-statistics"], "urls": [], "use_cases": ["learn bayesian statistics with python", "free book on bayes theorem and probability", "jupyter notebooks for bayesian data analysis", "computational approach to statistics exercises", "learn pymc through worked examples", "self-study statistics textbook with code"], "what_it_is": "Think Bayes 2 is a free book by Allen Downey introducing Bayesian statistics through computational methods, with text and supporting Python code. Each chapter has a Jupyter notebook with examples and exercises, runnable locally or on Colab.", "when_to_avoid": ["you need a production Bayesian inference library rather than teaching material", "you want a purely theoretical or proof-heavy treatment", "you need commercial redistribution, since the book is CC BY-NC-SA"], "when_to_choose": ["you want to learn Bayesian statistics hands-on with runnable Python code", "you prefer computational over mathematical derivations", "you need a free, openly licensed textbook with exercise solutions"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/thinkbayes2", "repo": "AllenDowney/ThinkBayes2", "role": "main", "score": 75}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:06:10.726518+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T02:56:15.768294+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4181e32e830f1a1f97f8f6f278c620d0aa4de58ff9d46af33f06ec8114c787c1", "fetched_at": "2026-08-28T04:06:10.726518+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AllenDowney/ThinkBayes2"}, {"content_hash": "9172d4e1d1553d64ca48daf5014172aefc31b3d3be754f39bf4e49854dab9d2c", "fetched_at": "2026-08-29T10:36:26.921236+00:00", "kind": "homepage", "missing": false, "url": "http://allendowney.github.io/ThinkBayes2/"}, {"content_hash": "14b0c8b9c8a0570cb7f2d249f6dc1a6ff618bf0646c0654d218771a77b6ab4db", "fetched_at": "2026-08-29T10:36:26.930695+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/thinkbayes2/json"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:06:10.726518+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T02:56:15.768294+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4181e32e830f1a1f97f8f6f278c620d0aa4de58ff9d46af33f06ec8114c787c1", "fetched_at": "2026-08-28T04:06:10.726518+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AllenDowney/ThinkBayes2"}, {"content_hash": "9172d4e1d1553d64ca48daf5014172aefc31b3d3be754f39bf4e49854dab9d2c", "fetched_at": "2026-08-29T10:36:26.921236+00:00", "kind": "homepage", "missing": false, "url": "http://allendowney.github.io/ThinkBayes2/"}, {"content_hash": "14b0c8b9c8a0570cb7f2d249f6dc1a6ff618bf0646c0654d218771a77b6ab4db", "fetched_at": "2026-08-29T10:36:26.930695+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/thinkbayes2/json"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T02:56:15.768294+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4181e32e830f1a1f97f8f6f278c620d0aa4de58ff9d46af33f06ec8114c787c1", "fetched_at": "2026-08-28T04:06:10.726518+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AllenDowney/ThinkBayes2"}, {"content_hash": "9172d4e1d1553d64ca48daf5014172aefc31b3d3be754f39bf4e49854dab9d2c", "fetched_at": "2026-08-29T10:36:26.921236+00:00", "kind": "homepage", "missing": false, "url": "http://allendowney.github.io/ThinkBayes2/"}, {"content_hash": "14b0c8b9c8a0570cb7f2d249f6dc1a6ff618bf0646c0654d218771a77b6ab4db", "fetched_at": "2026-08-29T10:36:26.930695+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/thinkbayes2/json"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:06:10.726518+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:06:10.726518+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:06:10.726518+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T02:56:15.768294+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4181e32e830f1a1f97f8f6f278c620d0aa4de58ff9d46af33f06ec8114c787c1", "fetched_at": "2026-08-28T04:06:10.726518+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AllenDowney/ThinkBayes2"}, {"content_hash": "9172d4e1d1553d64ca48daf5014172aefc31b3d3be754f39bf4e49854dab9d2c", "fetched_at": "2026-08-29T10:36:26.921236+00:00", "kind": "homepage", "missing": false, "url": "http://allendowney.github.io/ThinkBayes2/"}, {"content_hash": "14b0c8b9c8a0570cb7f2d249f6dc1a6ff618bf0646c0654d218771a77b6ab4db", "fetched_at": "2026-08-29T10:36:26.930695+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/thinkbayes2/json"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:06:10.726518+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:06:10.726518+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T02:56:15.768294+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4181e32e830f1a1f97f8f6f278c620d0aa4de58ff9d46af33f06ec8114c787c1", "fetched_at": "2026-08-28T04:06:10.726518+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AllenDowney/ThinkBayes2"}, {"content_hash": "9172d4e1d1553d64ca48daf5014172aefc31b3d3be754f39bf4e49854dab9d2c", "fetched_at": "2026-08-29T10:36:26.921236+00:00", "kind": "homepage", "missing": false, "url": "http://allendowney.github.io/ThinkBayes2/"}, {"content_hash": "14b0c8b9c8a0570cb7f2d249f6dc1a6ff618bf0646c0654d218771a77b6ab4db", "fetched_at": "2026-08-29T10:36:26.930695+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/thinkbayes2/json"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:06:10.726518+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:06:10.726518+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:06:10.726518+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T02:56:15.768294+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4181e32e830f1a1f97f8f6f278c620d0aa4de58ff9d46af33f06ec8114c787c1", "fetched_at": "2026-08-28T04:06:10.726518+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AllenDowney/ThinkBayes2"}, {"content_hash": "9172d4e1d1553d64ca48daf5014172aefc31b3d3be754f39bf4e49854dab9d2c", "fetched_at": "2026-08-29T10:36:26.921236+00:00", "kind": "homepage", "missing": false, "url": "http://allendowney.github.io/ThinkBayes2/"}, {"content_hash": "14b0c8b9c8a0570cb7f2d249f6dc1a6ff618bf0646c0654d218771a77b6ab4db", "fetched_at": "2026-08-29T10:36:26.930695+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/thinkbayes2/json"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:06:10.726518+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:06:10.726518+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T02:56:15.768294+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4181e32e830f1a1f97f8f6f278c620d0aa4de58ff9d46af33f06ec8114c787c1", "fetched_at": "2026-08-28T04:06:10.726518+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AllenDowney/ThinkBayes2"}, {"content_hash": "9172d4e1d1553d64ca48daf5014172aefc31b3d3be754f39bf4e49854dab9d2c", "fetched_at": "2026-08-29T10:36:26.921236+00:00", "kind": "homepage", "missing": false, "url": "http://allendowney.github.io/ThinkBayes2/"}, {"content_hash": "14b0c8b9c8a0570cb7f2d249f6dc1a6ff618bf0646c0654d218771a77b6ab4db", "fetched_at": "2026-08-29T10:36:26.930695+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/thinkbayes2/json"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T02:56:15.768294+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4181e32e830f1a1f97f8f6f278c620d0aa4de58ff9d46af33f06ec8114c787c1", "fetched_at": "2026-08-28T04:06:10.726518+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AllenDowney/ThinkBayes2"}, {"content_hash": "9172d4e1d1553d64ca48daf5014172aefc31b3d3be754f39bf4e49854dab9d2c", "fetched_at": "2026-08-29T10:36:26.921236+00:00", "kind": "homepage", "missing": false, "url": "http://allendowney.github.io/ThinkBayes2/"}, {"content_hash": "14b0c8b9c8a0570cb7f2d249f6dc1a6ff618bf0646c0654d218771a77b6ab4db", "fetched_at": "2026-08-29T10:36:26.930695+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/thinkbayes2/json"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T02:56:15.768294+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4181e32e830f1a1f97f8f6f278c620d0aa4de58ff9d46af33f06ec8114c787c1", "fetched_at": "2026-08-28T04:06:10.726518+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AllenDowney/ThinkBayes2"}, {"content_hash": "9172d4e1d1553d64ca48daf5014172aefc31b3d3be754f39bf4e49854dab9d2c", "fetched_at": "2026-08-29T10:36:26.921236+00:00", "kind": "homepage", "missing": false, "url": "http://allendowney.github.io/ThinkBayes2/"}, {"content_hash": "14b0c8b9c8a0570cb7f2d249f6dc1a6ff618bf0646c0654d218771a77b6ab4db", "fetched_at": "2026-08-29T10:36:26.930695+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/thinkbayes2/json"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T02:56:15.768294+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "4181e32e830f1a1f97f8f6f278c620d0aa4de58ff9d46af33f06ec8114c787c1", "fetched_at": "2026-08-28T04:06:10.726518+00:00", "kind": "readme", "missing": false, "url": "https://github.com/AllenDowney/ThinkBayes2"}, {"content_hash": "9172d4e1d1553d64ca48daf5014172aefc31b3d3be754f39bf4e49854dab9d2c", "fetched_at": "2026-08-29T10:36:26.921236+00:00", "kind": "homepage", "missing": false, "url": "http://allendowney.github.io/ThinkBayes2/"}, {"content_hash": "14b0c8b9c8a0570cb7f2d249f6dc1a6ff618bf0646c0654d218771a77b6ab4db", "fetched_at": "2026-08-29T10:36:26.930695+00:00", "kind": "registry_pypi", "missing": false, "url": "https://pypi.org/pypi/thinkbayes2/json"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 94, "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": 4394, "days_push": 37, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 75, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}