4 posts tagged with "pyright"

While Pyright, particularly its integration via Pylance in VS Code, offers superior speed and a responsive developer experience, it is not without its drawbacks. For certain projects, teams, or development philosophies, Pyright's characteristics can lead to friction, complexity, or outright incompatibility.

Here is a critical assessment of the reasons why an experienced developer might choose not to rely on Pyright, or use it only in a secondary role.

MyPy and Pyright are the two most powerful static type checkers currently used in the Python ecosystem. While both aim to enforce type hints and catch errors before runtime, they differ significantly in their implementation, philosophy, speed, and feature set.

Choosing between them—or deciding how to use them together—depends heavily on your priorities: speed, strictness, or integration with development environments.

Python is known for being dynamic, fast to prototype with, and easy to write. But these same characteristics can introduce bugs that are only caught at runtime.

Static type checking-validating code without running it-helps you catch bugs earlier. This is where Pyright enters the stage.

Python is known for being a dynamically typed language - you don’t have to declare variable types, and everything works at runtime. But as your codebase grows, undetected type errors can creep in. That’s where Mypy comes in.

Mypy is a static type checker for Python. It checks your Python code for type errors without running it.