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python/mypy

📈 Trending20,426PythonAudience · developerComplexity · 2/5ActiveLicenseSetup · easy

TLDR

Static type checker for Python that catches logic errors before you run your code, using optional type hints to verify variables and functions are used correctly.

Mindmap

mindmap
  root((repo))
    What it does
      Catches type errors early
      Checks before runtime
      Works with hints
    How to use
      Add type hints
      Run mypy command
      Gradual adoption
    Features
      Daemon mode
      Editor integration
      Gradual typing
    Tech stack
      Python
      Mypyc compiler
    Use cases
      Large codebases
      Team projects
      Refactoring safely

Things people build with this

USE CASE 1

Catch type-related bugs in Python code before running it, preventing runtime crashes in production.

USE CASE 2

Gradually add type hints to an existing Python project file by file without rewriting everything at once.

USE CASE 3

Get instant feedback in your editor (VS Code, PyCharm, Vim) as you write code, catching mistakes immediately.

USE CASE 4

Make large Python codebases easier to refactor and understand by documenting what types functions expect.

Tech stack

PythonMypyc

Getting it running

Difficulty · easy Time to first run · 5min
Use freely for any purpose, including commercial use, as long as you keep the copyright notice and license text.

In plain English

Mypy is a static type checker for Python, a tool that reads your Python code and checks whether you are using variables and functions correctly, before you ever run the program. Python normally only reveals type-related mistakes at runtime (for example, trying to add a number to a piece of text), which can mean bugs surface only in production. Mypy catches those errors at development time, acting like a spell-checker for your code's logic rather than its spelling. The way it works is through "type hints," optional labels you add to your Python code that describe what kind of data a variable or function expects. Once those hints are in place, you run the mypy command on your program and it reports any mismatches. Importantly, adding type hints does not change how Python runs your code, you can still execute it normally with the regular Python interpreter. Mypy also supports "gradual typing," meaning you can introduce hints to an existing project file by file, at your own pace, rather than converting everything at once. For teams managing large codebases, mypy offers a daemon mode that keeps a background process watching for changes, delivering near-instant feedback instead of re-scanning the entire project on every check. It integrates with common editors including VS Code, PyCharm, Vim, and Emacs, so errors can appear directly in your editor as you write. Mypy itself is written in Python and is compiled using a related tool called Mypyc, which makes it roughly four times faster than running it interpreted. You would reach for mypy when you want to make a Python project more reliable, easier to refactor, and clearer for collaborators to understand, especially as the codebase grows beyond what a single person can hold in their head.

Copy-paste prompts

Prompt 1
How do I add type hints to my Python functions and what does mypy check for?
Prompt 2
Set up mypy in my Python project and integrate it with my VS Code editor for real-time error checking.
Prompt 3
Convert my existing Python codebase to use type hints gradually, starting with the most critical files.
Prompt 4
Use mypy's daemon mode to get instant feedback on type errors without re-scanning the entire project each time.
Prompt 5
What are the most common type errors mypy catches and how do I fix them in my code?
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.