# typeddjango/awesome-python-typing

Collection of awesome Python types, stubs, plugins, and tools to work with them.

Repository: https://github.com/typeddjango/awesome-python-typing
Canonical: https://ross.abutalabs.com/products/awesome-python-typing
Homepage: https://github.com/typeddjango
License: CC-BY-SA-4.0
License Family: other
Topics: python, mypy, python-stubs, mypy-stubs, mypy-plugins, pyi, awesome-list, pep484, python-types, awesome
Last push: 2026-06-19T06:03:10+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 88, release rhythm 35, longevity 100
- inputs: {"age_days": 2549, "days_push": 75, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1980, forks 77 (observed 2026-08-28T04:06:01.586128+00:00)

## What it is
A curated awesome-list of Python typing resources, including static and dynamic type checkers, stub packages, mypy plugins, and related tooling. It serves as a reference index maintained by the TypedDjango organization.

## Use cases
- find python type checkers
- discover mypy stub packages
- learn about python typing tools
- compare static type checkers for python
- find runtime type checking libraries
- resources for adding type hints to python code

## When to choose
- you want a curated overview of the Python typing ecosystem
- you're choosing between type checkers like mypy, pyright, or pytype
- you need stub packages or typing plugins for your project

## When to avoid
- you need a runnable tool rather than a list of links
- you need in-depth documentation for a specific type checker

## Facets
- artifact type: learning-resource
- maturity: active
- function: type-system, linter, developer-tools
- domain: programming-languages, developer-tools, awesome-lists, tutorials
- platform: python, cross-platform
- tags: python-typing, mypy, type-stubs, awesome-list, static-analysis, pep484, python

## Member repositories
- typeddjango/awesome-python-typing (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:01.586128+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 2026-08-30T03:04:40.444433+00:00, confidence not recorded.
  - readme: https://github.com/typeddjango/awesome-python-typing (fetched 2026-08-28T04:06:01.586128+00:00, sha 4aa1f2dd4230)
  - homepage: https://github.com/typeddjango (fetched 2026-08-29T10:43:57.909573+00:00, sha 49efb430de21)
- Data as of 2026-08-30T08:39:29.467469+00:00.