What does python/typeshed do?

Typeshed est une collection de définitions de types statiques et de stubs pour la bibliothèque standard Python et les paquets tiers. Il sert de ressource standardisée pour les analyseurs statiques et les environnements de développement intégrés (IDE) afin de valider l'exactitude du code et de fournir une complétion de code basée sur les types sans modifier le code source original des bibliothèques.

What are the main features of python/typeshed?

The main features of python/typeshed are: Type Stub Files, Static Type Definitions, Type Accuracy Validation, Stub Version Mapping, Stub Versioning, Python Library Stubbing, External Library Definitions, Static Type Validation.

What are some open-source alternatives to python/typeshed?

Open-source alternatives to python/typeshed include: google/pytype — Pytype is a static code analysis tool and type inference engine for Python. It functions as a static type analyzer… python/mypy — mypy is a static type checker for Python that analyzes source code to detect type errors and inconsistencies without… facebook/pyrefly — Pyrefly is a static type checker for Python that operates as a language server, delivering real-time diagnostics,… astral-sh/ty — This project is a high-performance static type checker and comprehensive development toolkit for Python. It functions… instagram/monkeytype — MonkeyType is a runtime type inferencer and analysis tool for Python. It collects actual argument and return types… microsoft/typescript-handbook — This project is a comprehensive guide and educational resource for the TypeScript language. It covers the fundamental…

Typeshed - fournir des stubs de typage Python

Typeshed - fournir des stubs de typage Python | Awesome Repos

Features

Type Stub Files - Maintains a comprehensive collection of .pyi files that separate type annotations from runtime Python implementation.
Static Type Definitions - Provides a comprehensive collection of static type definitions for the Python standard library and third-party packages.
Type Accuracy Validation - Provides tools to verify that static type declarations accurately match the runtime behavior of Python packages.
Stub Version Mapping - Provides a mechanism to map specific type stub versions to corresponding runtime package versions for compatibility.
Stub Versioning - Implements a system to ensure type stubs remain compatible with the specific versions of the installed runtime code.
Python Library Stubbing - Creates and maintains type hint files for Python libraries that do not have native type annotations.
External Library Definitions - Provides primary type mapping for third-party dependencies to enable static analysis of external Python code.
Static Type Validation - Enforces type correctness by verifying that static definitions accurately match runtime package behavior.
Python Type Stub Repositories - Provides a comprehensive collection of static type definitions for the Python standard library and third-party packages.
Stub-to-Runtime Validations - Ships a validation system that compares static type definitions against live Python objects to identify mismatches.
Python Type Checkers - Provides the foundational type definitions used by Python type checkers to identify inconsistencies in codebases.
Static Type Checking - Provides the type definitions necessary for static analysis tools to verify API compatibility and code correctness without execution.
Static Code Analysis - Serves as a standardized resource for static code analysis to detect bugs and maintain type safety in Python.
Stub-to-Package Version Mapping - Maps specific versions of type stubs to corresponding versions of runtime packages to ensure compatibility.
Utility Type Definitions - Provides standardized utility type annotations used across various stub files to ensure consistent type checking.
Stub Validation Suites - Implements a validation suite to ensure type definitions accurately match the runtime behavior of Python packages.
Stub Completeness Verifications - Runs static type checkers with varying strictness to identify incomplete stubs or missing type information.
Regression Testing Suites - Provides a suite of tests to ensure that updates to type stubs do not reintroduce previously fixed type-checking bugs.
Lint Regression Testing - Employs a verification system to detect regressions in type-checking behavior by comparing current output against baselines.
Code Analysis - Listed in the “Code Analysis” section of the Awesome Python awesome list.
Stub Packages - Centralized collection of library stubs for static analysis.
Type Checking - Collection of library stubs for static type analysis.

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pythontypeshed

Typeshed

Features

Alternatives open source à Typeshed

google/pytype

python/mypy

facebook/pyrefly

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Alternatives open source à Typeshed

google/pytype

python/mypy

facebook/pyrefly

astral-sh/ty