pytype vs mypy
Python static type checkers compared
pytype and mypy both analyze Python types without running the checked program. pytype infers types and supports Python through 3.12, while mypy supports gradual adoption of annotations and provides tools such as daemon mode and editor integrations.
pytype: Analyze Python Types Statically
pytype is a static type analyzer for Python that uses type inference alongside annotations to find type problems without running code. Its final supported Python version is 3.12, so it is best suited to existing projects that target that version.
mypy: Check Python Types Without Running Your Code
mypy is a static type checker that finds type-related issues in Python code before it runs. Add type hints incrementally, then use mypy locally or in a development workflow to catch mistakes and make code easier to maintain.
| pytype | mypy | |
|---|---|---|
| Language | Python | Python |
| License | NOASSERTION | NOASSERTION |
| Stars | 5k | 20.7k |
| Forks | 290 | 3.3k |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- pytype is archived and its final supported Python version is 3.12; mypy is not archived.
- pytype combines type inference with inline annotations, including for partially annotated code; mypy checks type hints and supports gradual typing.
- mypy lists daemon mode for incremental checks, editor and tool integrations, and an online playground; pytype's listed features focus on static analysis and type inference.
- The listed use cases for pytype emphasize maintaining projects targeting Python 3.12 or earlier; mypy also highlights large codebases, library authors, and incremental development workflows.
- Both projects list their license as NOASSERTION, so licensing details should be reviewed before adoption. Both analyze Python code.
Choose pytype if you…
- maintain Python code targeting version 3.12 or earlier.
- want type inference to help check partially annotated code.
- need a static check that does not execute the program.
Choose mypy if you…
- want to introduce type annotations incrementally.
- need daemon mode or integrations with editors and development tools.
- want to check annotated code in a development workflow, including larger codebases.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.