{"adoption": {"forks": 485, "observed_at": "2026-08-28T04:04:21.684526+00:00", "stars": 1320}, "canonical_url": "https://ross.abutalabs.com/products/ppde642", "card": {"archived": false, "artifact_type": "learning-resource", "description": "USC urban data science course series in Python", "domain": ["education", "data-science", "tutorials"], "enriched": true, "function": ["data-science", "machine-learning", "geospatial", "math"], "health_score": 76, "homepage": "https://geoffboeing.com", "language": "Jupyter Notebook", "license": "MIT", "license_family": "permissive", "maturity": "active", "member_repos": ["gboeing/ppde642"], "name": "gboeing/ppde642", "platform": ["python", "cross-platform"], "pushed_at": "2026-07-21T20:20:54+00:00", "repo": "gboeing/ppde642", "stars": 1320, "tags": ["jupyter-notebooks", "course-materials", "urban-planning", "spatial-analysis", "network-analysis", "statistics", "transportation", "binder", "syllabus", "maps", "web-server"], "topics": ["usc", "urban-data-science", "course-materials", "data-science", "urban-planning", "urban-analytics", "urban-informatics", "city-government", "syllabus", "jupyter", "python", "statistics", "network-analysis", "spatial-analysis", "urbanism", "cities", "course", "coding", "transport", "transportation"], "urls": [], "use_cases": ["learn urban data science with python", "self-study spatial analysis course materials", "teach a course on urban analytics", "learn network analysis of street networks", "introduction to applied machine learning for urban data", "run course notebooks in the cloud with binder"], "what_it_is": "PPDE642 is the second course in a two-course USC urban data science series, providing Jupyter notebook course materials on spatial analysis, network analysis, spatial models, and applied machine learning in Python. It is freely available on GitHub and runnable interactively in the cloud via Binder.", "when_to_avoid": ["you need production software rather than educational materials", "you want a general-purpose data science course with no spatial/urban focus", "you need a maintained library with an API"], "when_to_choose": ["you want free, hands-on Jupyter-based course materials for urban data science", "you are self-studying spatial analysis, network analysis, or urban machine learning", "you teach a course and want a ready-made syllabus and notebooks"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/ppde642", "repo": "gboeing/ppde642", "role": "main", "score": 74}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:04:21.684526+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T04:47:27.435998+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b0e0f53086da18c0c597b901f45ea9a7fce2685ca6ac9af99ec73b5064ae50dc", "fetched_at": "2026-08-28T04:04:21.684526+00:00", "kind": "readme", "missing": false, "url": "https://github.com/gboeing/ppde642"}, {"content_hash": "601c0eae535899733487f3446dcde8b48fa3f67f7f21f4353a394c9ae53d8475", "fetched_at": "2026-08-29T12:06:22.467321+00:00", "kind": "homepage", "missing": false, "url": "https://geoffboeing.com"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:04:21.684526+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T04:47:27.435998+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b0e0f53086da18c0c597b901f45ea9a7fce2685ca6ac9af99ec73b5064ae50dc", "fetched_at": "2026-08-28T04:04:21.684526+00:00", "kind": "readme", "missing": false, "url": "https://github.com/gboeing/ppde642"}, {"content_hash": "601c0eae535899733487f3446dcde8b48fa3f67f7f21f4353a394c9ae53d8475", "fetched_at": "2026-08-29T12:06:22.467321+00:00", "kind": "homepage", "missing": false, "url": "https://geoffboeing.com"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T04:47:27.435998+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b0e0f53086da18c0c597b901f45ea9a7fce2685ca6ac9af99ec73b5064ae50dc", "fetched_at": "2026-08-28T04:04:21.684526+00:00", "kind": "readme", "missing": false, "url": "https://github.com/gboeing/ppde642"}, {"content_hash": "601c0eae535899733487f3446dcde8b48fa3f67f7f21f4353a394c9ae53d8475", "fetched_at": "2026-08-29T12:06:22.467321+00:00", "kind": "homepage", "missing": false, "url": "https://geoffboeing.com"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:04:21.684526+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:04:21.684526+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:04:21.684526+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T04:47:27.435998+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b0e0f53086da18c0c597b901f45ea9a7fce2685ca6ac9af99ec73b5064ae50dc", "fetched_at": "2026-08-28T04:04:21.684526+00:00", "kind": "readme", "missing": false, "url": "https://github.com/gboeing/ppde642"}, {"content_hash": "601c0eae535899733487f3446dcde8b48fa3f67f7f21f4353a394c9ae53d8475", "fetched_at": "2026-08-29T12:06:22.467321+00:00", "kind": "homepage", "missing": false, "url": "https://geoffboeing.com"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:04:21.684526+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:04:21.684526+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T04:47:27.435998+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b0e0f53086da18c0c597b901f45ea9a7fce2685ca6ac9af99ec73b5064ae50dc", "fetched_at": "2026-08-28T04:04:21.684526+00:00", "kind": "readme", "missing": false, "url": "https://github.com/gboeing/ppde642"}, {"content_hash": "601c0eae535899733487f3446dcde8b48fa3f67f7f21f4353a394c9ae53d8475", "fetched_at": "2026-08-29T12:06:22.467321+00:00", "kind": "homepage", "missing": false, "url": "https://geoffboeing.com"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:04:21.684526+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:04:21.684526+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:04:21.684526+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T04:47:27.435998+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b0e0f53086da18c0c597b901f45ea9a7fce2685ca6ac9af99ec73b5064ae50dc", "fetched_at": "2026-08-28T04:04:21.684526+00:00", "kind": "readme", "missing": false, "url": "https://github.com/gboeing/ppde642"}, {"content_hash": "601c0eae535899733487f3446dcde8b48fa3f67f7f21f4353a394c9ae53d8475", "fetched_at": "2026-08-29T12:06:22.467321+00:00", "kind": "homepage", "missing": false, "url": "https://geoffboeing.com"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:04:21.684526+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:04:21.684526+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T04:47:27.435998+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b0e0f53086da18c0c597b901f45ea9a7fce2685ca6ac9af99ec73b5064ae50dc", "fetched_at": "2026-08-28T04:04:21.684526+00:00", "kind": "readme", "missing": false, "url": "https://github.com/gboeing/ppde642"}, {"content_hash": "601c0eae535899733487f3446dcde8b48fa3f67f7f21f4353a394c9ae53d8475", "fetched_at": "2026-08-29T12:06:22.467321+00:00", "kind": "homepage", "missing": false, "url": "https://geoffboeing.com"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T04:47:27.435998+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b0e0f53086da18c0c597b901f45ea9a7fce2685ca6ac9af99ec73b5064ae50dc", "fetched_at": "2026-08-28T04:04:21.684526+00:00", "kind": "readme", "missing": false, "url": "https://github.com/gboeing/ppde642"}, {"content_hash": "601c0eae535899733487f3446dcde8b48fa3f67f7f21f4353a394c9ae53d8475", "fetched_at": "2026-08-29T12:06:22.467321+00:00", "kind": "homepage", "missing": false, "url": "https://geoffboeing.com"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T04:47:27.435998+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b0e0f53086da18c0c597b901f45ea9a7fce2685ca6ac9af99ec73b5064ae50dc", "fetched_at": "2026-08-28T04:04:21.684526+00:00", "kind": "readme", "missing": false, "url": "https://github.com/gboeing/ppde642"}, {"content_hash": "601c0eae535899733487f3446dcde8b48fa3f67f7f21f4353a394c9ae53d8475", "fetched_at": "2026-08-29T12:06:22.467321+00:00", "kind": "homepage", "missing": false, "url": "https://geoffboeing.com"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T04:47:27.435998+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "b0e0f53086da18c0c597b901f45ea9a7fce2685ca6ac9af99ec73b5064ae50dc", "fetched_at": "2026-08-28T04:04:21.684526+00:00", "kind": "readme", "missing": false, "url": "https://github.com/gboeing/ppde642"}, {"content_hash": "601c0eae535899733487f3446dcde8b48fa3f67f7f21f4353a394c9ae53d8475", "fetched_at": "2026-08-29T12:06:22.467321+00:00", "kind": "homepage", "missing": false, "url": "https://geoffboeing.com"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 93, "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": 4019, "days_push": 43, "days_rel": null, "gap_med": null, "n_releases_24m": 0}, "score": 74, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}