# pytorch/hub

Submission to https://pytorch.org/hub/

Repository: https://github.com/pytorch/hub
Canonical: https://ross.abutalabs.com/products/pytorch-hub
Language: Python
License Family: other
Last push: 2024-04-15T14:20:37+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2690, "days_push": 870, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1432, forks 247 (observed 2026-08-28T04:04:43.196226+00:00)

## What it is
The submission repository backing PyTorch Hub, a catalog of published PyTorch models listed at pytorch.org/hub. Contributors add markdown files and hubconf.py entries via PRs, which are validated by CI and rendered on the website.

## Use cases
- publish a pretrained PyTorch model to PyTorch Hub
- find pretrained models to load with torch.hub.load
- browse a catalog of community deep learning models
- validate model documentation with sanity checks before publishing

## When to choose
- you maintain a PyTorch model repo and want it discoverable via torch.hub
- you want a curated index of pretrained PyTorch models

## When to avoid
- you need hosted pretrained weights - the hub does not host them
- you want a package manager or model runtime rather than a listing
- you work with non-PyTorch frameworks like TensorFlow or JAX

## Facets
- artifact type: dataset
- maturity: active
- function: machine-learning, documentation, developer-tools
- domain: machine-learning, deep-learning, developer-tools
- platform: python
- tags: pytorch-hub, model-zoo, pretrained-models, model-publishing, deep-learning, web-server

## Member repositories
- pytorch/hub (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:43.196226+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:37:02.984845+00:00, confidence not recorded.
  - readme: https://github.com/pytorch/hub (fetched 2026-08-28T04:04:43.196226+00:00, sha ae7bd7ee0ab3)
- Data as of 2026-08-30T08:39:29.467469+00:00.