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patrick-kidger/torchtyping

Type annotations and dynamic checking for a tensor's shape, dtype, names, etc. observed · 2026-08-28

github.com/patrick-kidger/torchtyping · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

41/100

  • Activity 19
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1984
  • days_rel: n/a
  • days_push: 488
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1482 stars · 43 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library providing type annotations for PyTorch tensors' shape, dtype, layout, and dimension names, with optional runtime checking via typeguard. It is now in maintenance mode; the author recommends its successor jaxtyping for new projects.

Use cases

  • annotate tensor shapes in pytorch function signatures
  • runtime-check tensor shapes and dtypes
  • document tensor dimensions instead of comments
  • catch shape mismatch bugs in pytorch code
  • type-check named tensor dimensions

When to choose

  • maintaining an existing codebase already using torchtyping
  • you need runtime shape checking on PyTorch and cannot switch libraries

When to avoid

  • starting a new project - use jaxtyping instead
  • you need compatibility with static type checkers
  • you use typeguard >= 3.0

Facets

library · maturity maintenance

type-system testing machine-learning deep-learning developer-tools python pytorch tensor-shapes runtime-type-checking type-annotations superseded-by-jaxtyping

2 sources

Member repositories

RepositoryRoleHealth v2
patrick-kidger/torchtypingmain41

For agents

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Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem