Convert Figma logo to code with AI

microsoft logopylance-release

Documentation and issues for Pylance

1,693
770
1,693
345

Top Related Projects

13,105

Static Type Checker for Python

18,182

Optional static typing for Python

5,757

Awesome autocompletion, static analysis and refactoring library for python

Fork of the python-language-server project, maintained by the Spyder IDE team and the community

Quick Overview

Pylance is a fast and feature-rich language server for Python, designed to work with Visual Studio Code. It provides advanced language features such as auto-imports, type checking, and intelligent code completion, enhancing the Python development experience in VS Code.

Pros

  • Improved performance and responsiveness compared to other Python language servers
  • Advanced type checking and inference capabilities
  • Seamless integration with Visual Studio Code
  • Regular updates and active development by Microsoft

Cons

  • Limited to Visual Studio Code, not available for other editors
  • Some features require a paid Visual Studio Code license
  • Occasional false positives in type checking
  • May have conflicts with other Python extensions

Getting Started

  1. Install Visual Studio Code
  2. Open VS Code and navigate to the Extensions view (Ctrl+Shift+X)
  3. Search for "Pylance" and click "Install"
  4. Open a Python file, and Pylance will automatically activate
  5. Configure Pylance settings in VS Code's settings.json file:
{
    "python.languageServer": "Pylance",
    "python.analysis.typeCheckingMode": "basic"
}
  1. Enjoy enhanced Python development with Pylance's features!

Competitor Comparisons

13,105

Static Type Checker for Python

Pros of pyright

  • Open-source and fully transparent codebase
  • Can be used as a standalone command-line tool
  • More flexible configuration options for advanced users

Cons of pyright

  • Less user-friendly for beginners
  • Fewer built-in features compared to Pylance
  • Requires more manual setup and configuration

Code comparison

Pyright configuration (pyrightconfig.json):

{
  "include": ["src"],
  "exclude": ["**/node_modules", "**/__pycache__"],
  "strict": ["src/core"],
  "reportMissingImports": true
}

Pylance configuration (settings.json):

{
  "python.analysis.typeCheckingMode": "basic",
  "python.analysis.diagnosticMode": "workspace",
  "python.analysis.autoImportCompletions": true
}

Pyright is the core type-checking engine that powers Pylance. While Pyright offers more granular control and can be used independently, Pylance provides a more integrated and user-friendly experience within Visual Studio Code. Pylance includes additional features like auto-imports, type completion, and performance optimizations. However, it's not open-source like Pyright. The choice between the two depends on the user's needs, with Pyright being better suited for advanced users who require more control, and Pylance offering a more polished experience for general Python development in VS Code.

18,182

Optional static typing for Python

Pros of mypy

  • Open-source and community-driven development
  • More extensive type checking capabilities, including generics and union types
  • Supports gradual typing, allowing incremental adoption in existing projects

Cons of mypy

  • Slower performance compared to Pylance, especially for large codebases
  • Less seamless integration with IDEs and editors outside of specific plugins
  • May require more manual type annotations to achieve full coverage

Code Comparison

mypy:

from typing import List, Optional

def greet(names: List[str]) -> None:
    for name in names:
        print(f"Hello, {name}!")

def find_user(user_id: int) -> Optional[str]:
    # Implementation

Pylance:

def greet(names: list[str]) -> None:
    for name in names:
        print(f"Hello, {name}!")

def find_user(user_id: int) -> str | None:
    # Implementation

Both tools support type checking, but mypy uses the typing module for annotations, while Pylance leverages newer Python syntax for type hints. Pylance also provides additional features like auto-imports and refactoring support, which are not part of mypy's core functionality.

5,757

Awesome autocompletion, static analysis and refactoring library for python

Pros of Jedi

  • Open-source and community-driven development
  • Lightweight and fast performance
  • Language-server protocol support for integration with various editors

Cons of Jedi

  • Less comprehensive type inference compared to Pylance
  • Slower update cycle for new Python features
  • Limited support for some advanced language features

Code Comparison

Jedi:

import jedi

script = jedi.Script("import os\nos.p")
completions = script.complete(1, 4)
print(completions[0].name)  # Outputs: path

Pylance:

# Pylance is integrated into VS Code and doesn't require explicit code
# for basic functionality. It provides inline type information and
# autocompletion automatically.

Jedi is an open-source Python autocompletion and static analysis library, while Pylance is a Microsoft-developed language server for Python, primarily used in Visual Studio Code. Jedi offers a more lightweight solution with broad editor support, but Pylance provides more advanced features and tighter integration with VS Code. Pylance leverages Microsoft's Pyright type checker, offering superior type inference and faster performance for large codebases. However, Jedi's open-source nature allows for community contributions and use in various environments beyond VS Code.

Fork of the python-language-server project, maintained by the Spyder IDE team and the community

Pros of python-lsp-server

  • Open-source and community-driven, allowing for greater customization and contributions
  • Supports multiple Python versions and environments
  • Integrates with various text editors and IDEs beyond Visual Studio Code

Cons of python-lsp-server

  • Generally slower performance compared to Pylance
  • Less comprehensive type checking and inference capabilities
  • May require more manual configuration for optimal functionality

Code Comparison

python-lsp-server configuration example:

{
    "python.linting.enabled": true,
    "python.linting.pylintEnabled": true,
    "python.linting.pycodestyleEnabled": true,
    "python.linting.flake8Enabled": true
}

Pylance configuration example:

{
    "python.analysis.typeCheckingMode": "basic",
    "python.analysis.diagnosticMode": "workspace",
    "python.analysis.autoImportCompletions": true
}

Both Pylance and python-lsp-server aim to provide language server functionality for Python, offering features like code completion, linting, and type checking. Pylance, developed by Microsoft, is optimized for Visual Studio Code and offers faster performance and more advanced type inference. python-lsp-server, on the other hand, is a community-driven project that provides greater flexibility and compatibility with various editors, but may require more setup and offer less advanced features in some areas.

Convert Figma logo designs to code with AI

Visual Copilot

Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.

Try Visual Copilot

README

Pylance

Fast, feature-rich language support for Python

This repository is for providing feedback and documentation on the Pylance language server extension in Visual Studio Code. You can use the repository to report issues or submit feature requests. The Pylance codebase is not open-source but you can contribute to Pyright to make improvements to the core typing engine that powers the Pylance experience.

Pylance is the default language support for Python in Visual Studio Code and is shipped as part of that extension as an optional dependency.

Quick Start

  1. Install the Python extension from the marketplace. Pylance will be installed as an optional extension.
  2. Open a Python (.py) file and the Pylance extension will activate.

Note: If you've previously set a language server and want to try Pylance, make sure you've set "python.languageServer": "Default" or "Pylance" in your settings.json file using the text editor, or using the Settings Editor UI.

Features

<img src=images/all-features.gif>

Pylance provides some awesome features for Python 3, including:

  • Docstrings
  • Signature help, with type information
  • Parameter suggestions
  • Code completion
  • Auto-imports (as well as add and remove import code actions)
  • As-you-type reporting of code errors and warnings (diagnostics)
  • Code outline
  • Code navigation
  • Type checking mode
  • Native multi-root workspace support
  • IntelliCode compatibility
  • Jupyter Notebooks compatibility
  • Semantic highlighting

See the changelog for the latest release.

Settings and Customization

Pylance provides users with the ability to customize their Python language support via a host of settings which can either be placed in the settings.json file in your workspace, or edited through the Settings Editor UI.

  • python.analysis.typeCheckingMode

    • Used to specify the level of type checking analysis performed.
    • Default: off
    • Available values:
      • off: No type checking analysis is conducted; unresolved imports/variables diagnostics are produced
      • basic: Non-type checking-related rules (all rules in off) + basic type checking rules
      • strict: All type checking rules at the highest severity of error (includes all rules in off and basic categories)
  • python.analysis.diagnosticMode

    • Used to allow a user to specify what files they want the language server to analyze to get problems flagged in their code.
    • Available values:
      • workspace
      • openFilesOnly (default)
  • python.analysis.include

    • Paths of directories or files that should be included. If no paths are specified, Pylance defaults to the directory that contains workspace root. Paths may contain wildcard characters ** (a directory or multiple levels of directories), * (a sequence of zero or more characters), or ? (a single character).
    • Default value: empty array
  • python.analysis.exclude

    • Paths of directories or files that should not be included. These override the include directories, allowing specific subdirectories to be excluded. Note that files in the exclude paths may still be included in the analysis if they are referenced (imported) by source files that are not excluded. Paths may contain wildcard characters ** (a directory or multiple levels of directories), * (a sequence of zero or more characters), or ? (a single character). If no exclude paths are specified, Pylance automatically excludes the following: **/node_modules, **/__pycache__, .git and any virtual environment directories.
    • Default value: empty array
  • python.analysis.ignore

    • Paths of directories or files whose diagnostic output (errors and warnings) should be suppressed even if they are an included file or within the transitive closure of an included file. Paths may contain wildcard characters ** (a directory or multiple levels of directories), * (a sequence of zero or more characters), or ? (a single character).
    • Default value: empty array
  • python.analysis.stubPath

    • Used to allow a user to specify a path to a directory that contains custom type stubs. Each package's type stub file(s) are expected to be in its own subdirectory.
    • Default value: ./typings
  • python.analysis.autoSearchPaths

    • Used to automatically add search paths based on some predefined names (like src).
    • Available values:
      • true (default)
      • false
  • python.analysis.extraPaths

    • Used to specify extra search paths for import resolution. This replaces the old python.autoComplete.extraPaths setting.
    • Default value: empty array
  • python.analysis.diagnosticSeverityOverrides

    • Used to allow a user to override the severity levels for individual diagnostics should they desire.

    • Accepted severity values:

      • error (red squiggle)
      • warning (yellow squiggle)
      • information (blue squiggle)
      • none (disables the rule)
    • Available rule to use as keys can be found here

    • Example:

      {
          "python.analysis.diagnosticSeverityOverrides": {
              "reportUnboundVariable": "information",
              "reportImplicitStringConcatenation": "warning"
          }
      }
      
  • python.analysis.useLibraryCodeForTypes

    • Used to parse the source code for a package when a typestub is not found.
    • Accepted values:
      • true (default)
      • false
  • python.analysis.indexing

    • Used to specify whether Pylance should index installed third party libraries and user files to provide features such as auto-import, add import, workspace symbols, etc.
    • Accepted values:
      • true (default)
      • false
  • python.analysis.userFileIndexingLimit

    • Maximum number of user files to index in the workspace. Indexing files is a performance-intensive task. Please use this setting to limit the number of files you want us to index. If you enter -1, we will index all files.
    • Default value: 2000
  • python.analysis.packageIndexDepths

    • Used to override how many levels under installed packages to index on a per package basis. By default, only top-level modules are indexed (depth = 1). To index submodules, increase depth by 1 for each level of submodule you want to index.

    • Accepted values:

      {
          "name": "package name (str)",
          "depth": "depth to scan (int)",
          "includeAllSymbols": "whether to include all symbols (bool)"
      }
      

      If include all symbols is set to false, only symbols in each package's __all__ are included. When it's set to true, Pylance will index every module/top level symbol declarations in the file.

    • Example:

      [
          { "name": "sklearn", "depth": 2, "includeAllSymbols": true },
          { "name": "matplotlib", "depth": 3, "includeAllSymbols": false }
      ]
      
  • python.analysis.autoImportCompletions

    • Used to control the offering of auto-imports in completions. This will impact number of items shown in the completion and performance.
    • Accepted values:
      • true
      • false (default)
  • python.analysis.importFormat

    • Defines the default format for import module.
    • Accepted values:
      • absolute (default)
      • relative
  • python.analysis.completeFunctionParens

    • Add parentheses to function completions.
    • Accepted values:
      • true
      • false (default)
  • python.analysis.inlayHints.variableTypes

    • Enable/disable inlay hints for variable types.
    • Accepted values:
      • true
      • false (default)
  • python.analysis.inlayHints.functionReturnTypes

    • Enable/disable inlay hints for function return types.
    • Accepted values:
      • true
      • false (default)
  • python.analysis.inlayHints.callArgumentNames

    • Enable/disable inlay hints for call argument names.
    • Accepted values:
      • off (default)
      • partial
      • all
  • python.analysis.inlayHints.pytestParameters

    • Enable/disable inlay hints for pytest function parameters.
    • Accepted values:
      • true
      • false (default)
@pytest.fixture()
def my_fixture() -> str:
    return "foo"

def test_foo(my_fixture):...
  • becomes
@pytest.fixture()
def my_fixture() -> str:
    return "foo"

def test_foo(my_fixture: str):...
  • python.analysis.fixAll

    • The set of code actions to run when running the Fix All command.
    • Accepted values:
      • source.unusedImports
      • source.convertImportFormat
  • python.analysis.enablePytestSupport

    • Enable pytest goto def and inlay hint support for fixtures.
    • Accepted values:
      • true (default)
      • false
  • python.analysis.autoFormatStrings

    • When typing a { in a string, automatically puts an f on the front of the string.
    • Accepted values:
      • true
      • false (default)
  • python.analysis.autoIndent

    • Automatically adjust indentation based on language semantics when typing Python code.
    • Accepted values:
      • true (default)
      • false
  • python.analysis.nodeExecutable

    • Path to a node executable to use to run Pylance. If this value is empty, Pylance uses VS Code's node executable.
    • Set this value when you are having out of memory issues. Using a custom node executable allows Pylance to allocate more memory.
    • Accepted values:
      • any executable path

Semantic highlighting

Visual Studio Code uses TextMate grammars as the main tokenization engine. TextMate grammars work on a single file as input and break it up based on lexical rules expressed in regular expressions.

Semantic tokenization allows language servers to provide additional token information based on the language server's knowledge on how to resolve symbols in the context of a project. Themes can opt-in to use semantic tokens to improve and refine the syntax highlighting from grammars. The editor applies the highlighting from semantic tokens on top of the highlighting from grammars.

Here's an example of what semantic highlighting can add:

Without semantic highlighting:

 semantic highlighting disabled

With semantic highlighting:

 semantic highlighting enabled

Semantic colors can be customized in settings.json by associating the Pylance semantic token types and modifiers with the desired colors.

  • Semantic token types

    • class, enum
    • parameter, variable, property, enumMember
    • function, member
    • module
    • intrinsic
    • magicFunction (dunder methods)
    • selfParameter, clsParameter
  • Semantic token modifiers

    • declaration
    • readonly, static, abstract
    • async
    • typeHint, typeHintComment
    • decorator
    • builtin

The scope inspector tool allows you to explore what semantic tokens are present in a source file and what theme rules they match to.

Example of customizing semantic colors in settings.json:

{
    "editor.semanticTokenColorCustomizations": {
        "[One Dark Pro]": {
            // Apply to this theme only
            "enabled": true,
            "rules": {
                "magicFunction:python": "#ee0000",
                "function.declaration:python": "#990000",
                "*.decorator:python": "#0000dd",
                "*.typeHint:python": "#5500aa",
                "*.typeHintComment:python": "#aaaaaa"
            }
        }
    }
}

Source Code Actions

  • source.unusedImports

    • Remove all unused imports in a file
  • source.convertImportFormat

    • Convert import format according to python.analysis.importFormat.
  • source.fixall.pylance

    • Apply the commands listed in the python.analysis.fixall setting

Troubleshooting

Known issues are documented in TROUBLESHOOTING.

Contributing

Pylance leverages Microsoft's open-source static type checking tool, Pyright, to provide performant language support for Python.

Code contributions are welcomed via the Pyright repo.

Pylance ships with a collection of type stubs for popular modules to provide fast and accurate auto-completions and type checking. Our type stubs are sourced from typeshed and our work-in-progress stub repository, microsoft/python-type-stubs. Type stubs in microsoft/python-type-stubs will be contributed back to typeshed or added inline to source packages once they are of high enough quality.

For information on getting started, refer to the CONTRIBUTING instructions.

Feedback

License

See LICENSE for more information.