{"adoption": {"forks": 556, "observed_at": "2026-08-28T04:07:24.626202+00:00", "stars": 2837}, "canonical_url": "https://ross.abutalabs.com/products/pot", "card": {"archived": false, "artifact_type": "library", "description": "POT : Python Optimal Transport", "domain": ["machine-learning", "data-science", "image-processing"], "enriched": true, "function": ["machine-learning", "math", "data-science"], "health_score": 100, "homepage": "https://PythonOT.github.io/", "language": "Python", "license": "MIT", "license_family": "permissive", "maturity": "stable", "member_repos": ["PythonOT/POT"], "name": "PythonOT/POT", "platform": ["python", "cross-platform"], "pushed_at": "2026-08-26T10:48:50+00:00", "repo": "PythonOT/POT", "stars": 2837, "tags": ["optimal-transport", "wasserstein", "sinkhorn", "gromov-wasserstein", "emd", "domain-adaptation", "barycenter", "differentiable", "optimization", "algorithms", "gpu"], "topics": ["optimal-transport", "numerical-optimization", "machine-learning", "emd", "ot-mapping-estimation", "wasserstein-barycenter", "ot-solver", "python", "wasserstein", "wasserstein-discriminant-analysis", "gromov-wasserstein", "wasserstein-barycenters", "sinkhorn-divergences", "sinkhorn-knopp", "pot", "domain-adaptation"], "urls": [], "use_cases": ["compute Wasserstein distance between distributions in python", "solve earth movers distance between histograms", "compute sinkhorn divergence with pytorch autograd", "estimate gromov-wasserstein distance between graphs", "compute wasserstein barycenter of distributions", "perform domain adaptation with optimal transport", "differentiable optimal transport loss for deep learning"], "what_it_is": "POT is an open-source Python library providing a large set of differentiable solvers for optimal transport problems, including exact and regularized OT, Sinkhorn divergences, Gromov-Wasserstein distances, and Wasserstein barycenters. It supports multiple array backends (NumPy, PyTorch, JAX, TensorFlow, CuPy) and includes machine-learning solvers such as domain adaptation and OT mapping estimation.", "when_to_avoid": ["you need a non-Python or standalone C++/GPU-only OT implementation", "your problem is unrelated to distribution comparison or transport", "you need a lightweight dependency-free solution"], "when_to_choose": ["you need optimal transport solvers in Python with differentiability for ML pipelines", "you want Gromov-Wasserstein, unbalanced, or partial OT in one library", "you need OT computations across NumPy, PyTorch, JAX, TensorFlow, or CuPy backends"]}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/pot", "repo": "PythonOT/POT", "role": "main", "score": 89}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:07:24.626202+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T07:37:29.295601+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f7db8137fd5237c4313f3025ecf9d892405cfd2182a13ca74db1bb1f78d1ec0", "fetched_at": "2026-08-28T04:07:24.626202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/PythonOT/POT"}, {"content_hash": "0a44a5ac4c1d1ed17ab1d094bed72919109c94032aa12acc24f9387aacd19ca7", "fetched_at": "2026-08-29T09:53:04.584743+00:00", "kind": "homepage", "missing": false, "url": "https://PythonOT.github.io/"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:07:24.626202+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T07:37:29.295601+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f7db8137fd5237c4313f3025ecf9d892405cfd2182a13ca74db1bb1f78d1ec0", "fetched_at": "2026-08-28T04:07:24.626202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/PythonOT/POT"}, {"content_hash": "0a44a5ac4c1d1ed17ab1d094bed72919109c94032aa12acc24f9387aacd19ca7", "fetched_at": "2026-08-29T09:53:04.584743+00:00", "kind": "homepage", "missing": false, "url": "https://PythonOT.github.io/"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T07:37:29.295601+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f7db8137fd5237c4313f3025ecf9d892405cfd2182a13ca74db1bb1f78d1ec0", "fetched_at": "2026-08-28T04:07:24.626202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/PythonOT/POT"}, {"content_hash": "0a44a5ac4c1d1ed17ab1d094bed72919109c94032aa12acc24f9387aacd19ca7", "fetched_at": "2026-08-29T09:53:04.584743+00:00", "kind": "homepage", "missing": false, "url": "https://PythonOT.github.io/"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:07:24.626202+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:07:24.626202+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:07:24.626202+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T07:37:29.295601+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f7db8137fd5237c4313f3025ecf9d892405cfd2182a13ca74db1bb1f78d1ec0", "fetched_at": "2026-08-28T04:07:24.626202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/PythonOT/POT"}, {"content_hash": "0a44a5ac4c1d1ed17ab1d094bed72919109c94032aa12acc24f9387aacd19ca7", "fetched_at": "2026-08-29T09:53:04.584743+00:00", "kind": "homepage", "missing": false, "url": "https://PythonOT.github.io/"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:07:24.626202+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:07:24.626202+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T07:37:29.295601+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f7db8137fd5237c4313f3025ecf9d892405cfd2182a13ca74db1bb1f78d1ec0", "fetched_at": "2026-08-28T04:07:24.626202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/PythonOT/POT"}, {"content_hash": "0a44a5ac4c1d1ed17ab1d094bed72919109c94032aa12acc24f9387aacd19ca7", "fetched_at": "2026-08-29T09:53:04.584743+00:00", "kind": "homepage", "missing": false, "url": "https://PythonOT.github.io/"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:07:24.626202+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:07:24.626202+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:07:24.626202+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T07:37:29.295601+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f7db8137fd5237c4313f3025ecf9d892405cfd2182a13ca74db1bb1f78d1ec0", "fetched_at": "2026-08-28T04:07:24.626202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/PythonOT/POT"}, {"content_hash": "0a44a5ac4c1d1ed17ab1d094bed72919109c94032aa12acc24f9387aacd19ca7", "fetched_at": "2026-08-29T09:53:04.584743+00:00", "kind": "homepage", "missing": false, "url": "https://PythonOT.github.io/"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:07:24.626202+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:07:24.626202+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T07:37:29.295601+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f7db8137fd5237c4313f3025ecf9d892405cfd2182a13ca74db1bb1f78d1ec0", "fetched_at": "2026-08-28T04:07:24.626202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/PythonOT/POT"}, {"content_hash": "0a44a5ac4c1d1ed17ab1d094bed72919109c94032aa12acc24f9387aacd19ca7", "fetched_at": "2026-08-29T09:53:04.584743+00:00", "kind": "homepage", "missing": false, "url": "https://PythonOT.github.io/"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T07:37:29.295601+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f7db8137fd5237c4313f3025ecf9d892405cfd2182a13ca74db1bb1f78d1ec0", "fetched_at": "2026-08-28T04:07:24.626202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/PythonOT/POT"}, {"content_hash": "0a44a5ac4c1d1ed17ab1d094bed72919109c94032aa12acc24f9387aacd19ca7", "fetched_at": "2026-08-29T09:53:04.584743+00:00", "kind": "homepage", "missing": false, "url": "https://PythonOT.github.io/"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T07:37:29.295601+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f7db8137fd5237c4313f3025ecf9d892405cfd2182a13ca74db1bb1f78d1ec0", "fetched_at": "2026-08-28T04:07:24.626202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/PythonOT/POT"}, {"content_hash": "0a44a5ac4c1d1ed17ab1d094bed72919109c94032aa12acc24f9387aacd19ca7", "fetched_at": "2026-08-29T09:53:04.584743+00:00", "kind": "homepage", "missing": false, "url": "https://PythonOT.github.io/"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T07:37:29.295601+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "8f7db8137fd5237c4313f3025ecf9d892405cfd2182a13ca74db1bb1f78d1ec0", "fetched_at": "2026-08-28T04:07:24.626202+00:00", "kind": "readme", "missing": false, "url": "https://github.com/PythonOT/POT"}, {"content_hash": "0a44a5ac4c1d1ed17ab1d094bed72919109c94032aa12acc24f9387aacd19ca7", "fetched_at": "2026-08-29T09:53:04.584743+00:00", "kind": "homepage", "missing": false, "url": "https://PythonOT.github.io/"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 99, "longevity": 100, "rhythm": 71}, "computed_at": "2026-09-02T17:46:02.011165+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 3604, "days_push": 7, "days_rel": 35, "gap_med": 154.0, "n_releases_24m": 5}, "score": 89, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}