{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"pylance","slug":"pylance","name":"Pylance","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance","page_url":"https://unfragile.ai/pylance","categories":["code-editors"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"pylance__cap_0","uri":"capability://code.generation.editing.type.aware.code.completion.with.multi.file.context","name":"type-aware code completion with multi-file context","description":"Pylance provides IntelliSense completions by analyzing Python type hints (PEP 484/526) and performing static type inference across the entire workspace using Pyright's type inference engine. Completions are ranked by type compatibility and semantic relevance, with support for stub files (.pyi) and installed package introspection. The completion engine indexes workspace symbols and resolves imports to provide context-aware suggestions without executing code.","intents":["I want autocomplete suggestions that understand my code's type structure, not just keyword matching","I need completion to work across multiple files in my project without sending code to external servers","I want to see function signatures and parameter types as I type"],"best_for":["Python developers using type hints in their codebase","Teams enforcing static type checking as part of development workflow","Solo developers who want IDE-like intelligence without cloud dependencies"],"limitations":["Completion accuracy depends on presence of type hints; untyped code receives generic suggestions","Does not perform runtime analysis, so dynamic attribute access is not completed","Completion latency increases with workspace size; 'light' mode disables some completion features","Cannot complete across language boundaries (e.g., C extensions with no type stubs)"],"requires":["VS Code (version unspecified, but recent versions recommended)","Python extension for VS Code installed","Python 3.x interpreter configured in workspace","Type hints in code (optional but recommended for best results)"],"input_types":["Python source code (.py files)","Type stub files (.pyi)","Installed package metadata"],"output_types":["Completion suggestions with type information","Signature help with parameter types","Documentation snippets"],"categories":["code-generation-editing","language-server"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pylance__cap_1","uri":"capability://code.generation.editing.real.time.type.checking.and.diagnostic.reporting","name":"real-time type checking and diagnostic reporting","description":"Pylance continuously analyzes Python code as you type, using Pyright's static type checker to identify type mismatches, undefined names, missing imports, and other errors. Diagnostics are reported in-line with red squiggles and appear in the Problems panel, with configurable severity levels (error/warning/information). The type checker respects Python's type system (PEP 484, PEP 586, PEP 589) and supports gradual typing, allowing mixed typed and untyped code in the same project.","intents":["I want to catch type errors before running my code","I need to see all errors and warnings in my project in one place","I want to enforce type safety gradually across a legacy codebase"],"best_for":["Teams adopting type hints incrementally","Projects with strict type checking requirements","Developers who want immediate feedback on type errors without running tests"],"limitations":["Type checking is static only; runtime type errors (e.g., from dynamic imports or eval) are not detected","Requires type hints to be effective; untyped code receives minimal checking","Cannot detect errors in C extensions or dynamically loaded modules","'light' mode disables some diagnostic checks to reduce overhead","Diagnostic accuracy depends on correct Python interpreter and environment configuration"],"requires":["VS Code with Python extension","Python 3.x interpreter configured","Workspace settings.json or Settings UI to configure diagnostic rules (optional)"],"input_types":["Python source code (.py files)","Type stub files (.pyi)","pyproject.toml or pyrightconfig.json for configuration"],"output_types":["Diagnostic messages (error/warning/info)","Inline code squiggles","Problems panel entries"],"categories":["code-generation-editing","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pylance__cap_10","uri":"capability://code.generation.editing.jupyter.notebook.support.with.cell.analysis","name":"jupyter-notebook-support-with-cell-analysis","description":"Extends Pylance's analysis capabilities to Jupyter Notebooks in VS Code, providing type checking, code completion, and diagnostics for notebook cells. The engine treats each cell as a separate Python scope while maintaining context from previously executed cells, enabling accurate analysis of notebook code.","intents":["Get type checking and code completion in Jupyter Notebooks without leaving VS Code","Identify errors in notebook cells before execution","Navigate and refactor code across multiple notebook cells","Understand types and signatures in interactive notebook development"],"best_for":["Data scientists and researchers using Jupyter Notebooks in VS Code","Teams using notebooks for exploratory analysis who want IDE-like features","Developers transitioning from notebooks to production code who need type safety"],"limitations":["Analysis accuracy depends on cell execution order; out-of-order execution may cause incorrect type inference","Cannot analyze code that depends on external state or side effects from previous cells","Does not execute cells to gather runtime type information; relies on static analysis only","Notebook-specific features (e.g., magic commands) may not be analyzed correctly"],"requires":["VS Code 1.50 or later","Python extension for VS Code","Pylance extension enabled","Jupyter extension for VS Code (for notebook support)"],"input_types":["Jupyter Notebook cells (.ipynb files)","Python code within notebook cells","Cell execution order and dependencies"],"output_types":["Type checking and diagnostics for notebook cells","Code completion suggestions in notebook cells","Navigation and refactoring support across cells"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pylance__cap_11","uri":"capability://code.generation.editing.multi.root.workspace.support.with.per.folder.configuration","name":"multi-root-workspace-support-with-per-folder-configuration","description":"Supports VS Code multi-root workspaces where multiple folders are open simultaneously, with per-folder Python environment and configuration settings. 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When you use an undefined symbol, Pylance suggests adding the import; it can also remove unused imports and organize import statements. The auto-import engine resolves symbols using the Python import system (sys.path, PYTHONPATH, virtual environments) and respects __init__.py files and package structures.","intents":["I want to use a symbol and have the import added automatically without typing it","I want to clean up unused imports in my file","I want to organize imports in a consistent order"],"best_for":["Python developers working with large codebases with many dependencies","Teams enforcing import organization standards","Developers who want to reduce manual import management overhead"],"limitations":["Auto-import only works for symbols resolvable via the Python import system; dynamic imports (e.g., __import__) are not handled","Requires correct Python interpreter and environment configuration to resolve packages","Cannot add imports for symbols in C extensions without type stubs","Import organization follows PEP 8 conventions; custom import ordering is not configurable","Unused import detection may have false negatives for symbols used via getattr or dynamic access"],"requires":["VS Code with Python extension","Python 3.x interpreter configured in workspace","Installed packages must be discoverable via sys.path"],"input_types":["Python source code (.py files)","Installed package metadata"],"output_types":["Import statements (added/removed)","Organized import blocks"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pylance__cap_3","uri":"capability://search.retrieval.symbol.navigation.and.code.structure.analysis","name":"symbol navigation and code structure analysis","description":"Pylance provides code navigation capabilities including go-to-definition, find-all-references, and symbol outline/tree view. These features work by analyzing the workspace's symbol table (built from type inference and AST analysis) and resolving symbol references across files. Go-to-definition jumps to the source of a symbol (function, class, variable), find-references locates all usages, and the outline view displays the hierarchical structure of symbols in the current file.","intents":["I want to jump to the definition of a function or class to understand its implementation","I want to find all places where a symbol is used in my codebase","I want to see the structure of my file (classes, functions, variables) in a tree view"],"best_for":["Developers navigating large codebases","Teams refactoring code and needing to understand symbol usage","Solo developers who want IDE-like navigation without external tools"],"limitations":["Navigation only works for symbols resolvable via static analysis; dynamic symbol access (e.g., getattr) is not tracked","Find-references may have false negatives for symbols accessed via string names or reflection","Go-to-definition may jump to type stub files (.pyi) instead of source code if stubs are available","Symbol outline does not include symbols in imported modules (only current file)","Performance degrades with very large workspaces (100k+ files)"],"requires":["VS Code with Python extension","Python 3.x interpreter configured"],"input_types":["Python source code (.py files)","Type stub files (.pyi)"],"output_types":["Definition locations (file + line number)","Reference locations (file + line number)","Symbol tree/outline"],"categories":["search-retrieval","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pylance__cap_4","uri":"capability://code.generation.editing.semantic.syntax.highlighting.based.on.type.information","name":"semantic syntax highlighting based on type information","description":"Pylance provides semantic highlighting that colors code based on type information and semantic analysis, not just syntax rules. Variables, functions, classes, and other symbols are colored according to their semantic role (e.g., type parameters in a different color than variables). This highlighting is computed by analyzing the type graph and symbol table, enabling more nuanced and informative code visualization than traditional syntax highlighting.","intents":["I want to visually distinguish between different kinds of symbols (types, variables, functions) in my code","I want highlighting that understands my code's structure, not just keyword matching","I want to quickly identify type parameters, constants, and other semantic categories"],"best_for":["Developers who prefer rich visual feedback while reading code","Teams with strict code style guidelines","Developers working with complex type hierarchies"],"limitations":["Semantic highlighting requires type analysis, so it's slower than syntax-only highlighting","'light' mode may disable semantic highlighting to reduce overhead","Highlighting accuracy depends on type information; untyped code receives generic coloring","VS Code theme must support semantic token types for highlighting to be visible"],"requires":["VS Code with Python extension","VS Code theme that supports semantic highlighting","Python 3.x interpreter configured"],"input_types":["Python source code (.py files)"],"output_types":["Colored code with semantic token types"],"categories":["code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pylance__cap_5","uri":"capability://automation.workflow.configurable.type.checking.modes.with.performance.tuning","name":"configurable type checking modes with performance tuning","description":"Pylance offers three language server modes ('light', 'default', 'full') that trade off feature breadth against performance and resource usage. The 'light' mode disables some features to minimize overhead, 'default' provides a balanced set of features, and 'full' enables all features including advanced type checking. The mode is configured via the `python.analysis.languageServerMode` setting in workspace settings.json or VS Code Settings UI, allowing teams to tune Pylance's behavior for their hardware and project size.","intents":["I want to use Pylance on a resource-constrained machine without it slowing down my editor","I want to enable all Pylance features for maximum IDE-like experience","I want to balance features and performance for my team's typical hardware"],"best_for":["Teams with diverse hardware (laptops, desktops, remote machines)","Projects where editor responsiveness is critical","Developers who want to customize Pylance's resource usage"],"limitations":["'light' mode disables some features (specific features not documented), reducing IDE functionality","Mode switching requires VS Code restart to take effect","No fine-grained control over individual features; only three preset modes available","Performance improvement from 'light' mode is not quantified; actual overhead depends on project size and hardware"],"requires":["VS Code with Python extension","Ability to edit workspace settings.json or use Settings UI"],"input_types":["Configuration setting: 'light' | 'default' | 'full'"],"output_types":["Language server behavior (feature set and performance)"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pylance__cap_6","uri":"capability://code.generation.editing.jupyter.notebook.cell.analysis.and.completion","name":"jupyter notebook cell analysis and completion","description":"Pylance extends its type checking and completion capabilities to Jupyter notebook cells, analyzing cell code in context and providing IntelliSense, diagnostics, and navigation within notebooks. The language server treats notebook cells as a continuous Python context, tracking variable definitions across cells and providing completion based on previously executed cells. This integration works with VS Code's built-in notebook editor.","intents":["I want type checking and completion in my Jupyter notebooks, not just in .py files","I want to understand how variables flow across notebook cells","I want to catch type errors in notebook code before running cells"],"best_for":["Data scientists and researchers using Jupyter notebooks in VS Code","Teams mixing notebook and script-based Python development","Developers who want IDE-like support in notebooks"],"limitations":["Analysis is static; notebook cell execution order is not tracked, so variable definitions may be inaccurate if cells are run out of order","Completion and diagnostics reflect the logical cell order, not the actual execution order","Performance may degrade with very large notebooks (100+ cells)","Notebook-specific features (e.g., magic commands) are not analyzed"],"requires":["VS Code with Python extension","Jupyter notebook (.ipynb file) open in VS Code notebook editor","Python 3.x interpreter configured"],"input_types":["Jupyter notebook cells (.ipynb)"],"output_types":["Completion suggestions, diagnostics, and navigation within notebook cells"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pylance__cap_7","uri":"capability://code.generation.editing.multi.root.workspace.and.virtual.environment.support","name":"multi-root workspace and virtual environment support","description":"Pylance supports VS Code's multi-root workspace feature, allowing analysis of multiple project folders in a single window. For each root, Pylance respects the configured Python interpreter and virtual environment, enabling accurate import resolution and type checking across different projects with different dependencies. The language server automatically detects and uses virtual environments (venv, conda, etc.) configured in the workspace.","intents":["I want to work on multiple Python projects in one VS Code window without import conflicts","I want each project folder to use its own Python interpreter and dependencies","I want type checking that respects each project's virtual environment"],"best_for":["Developers working on monorepos or multi-project workspaces","Teams with projects using different Python versions or dependency sets","Solo developers juggling multiple projects"],"limitations":["Each root must have its own Python interpreter configured; shared configuration is not supported","Import resolution may be slow if roots have conflicting dependencies","Switching interpreters requires workspace reconfiguration and may require VS Code restart","No built-in support for cross-root imports; each root is analyzed independently"],"requires":["VS Code with Python extension","Python interpreters configured for each workspace root","Virtual environments (optional but recommended)"],"input_types":["Multi-root workspace configuration (.code-workspace file)","Python interpreter paths"],"output_types":["Type checking and completion per workspace root"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pylance__cap_8","uri":"capability://code.generation.editing.type.stub.file.pyi.support.and.package.introspection","name":"type stub file (.pyi) support and package introspection","description":"Pylance uses Python type stub files (.pyi) to provide type information for packages without inline type hints, including third-party packages and C extensions. The language server searches for stubs in the workspace, installed packages (via typeshed), and the Python environment, enabling type checking and completion for untyped libraries. This allows Pylance to provide IDE support for popular packages like NumPy, Django, and others that may not have inline type hints.","intents":["I want type checking and completion for third-party packages that don't have type hints","I want to use type stubs to add type information to legacy code","I want Pylance to understand the types of C extension modules"],"best_for":["Developers using untyped third-party packages","Teams maintaining legacy codebases without type hints","Projects that need type information for C extensions"],"limitations":["Type stubs must be manually created or sourced from typeshed; Pylance does not generate stubs automatically","Stub accuracy depends on the stub maintainer; outdated stubs may provide incorrect type information","Stubs for C extensions are limited; not all C modules have type stubs available","Stub resolution may be slow if many stubs are present in the workspace"],"requires":["VS Code with Python extension","Type stub files (.pyi) in the workspace or installed via typeshed","Python 3.x interpreter configured"],"input_types":["Type stub files (.pyi)","Installed package metadata"],"output_types":["Type information for untyped packages","Completion and diagnostics based on stubs"],"categories":["code-generation-editing","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"pylance__cap_9","uri":"capability://code.generation.editing.workspace.aware.symbol.resolution.and.module.discovery","name":"workspace-aware-symbol-resolution-and-module-discovery","description":"Automatically discovers Python modules and packages in the workspace and installed environments, and resolves symbol references across multiple files and modules. The engine builds a workspace-wide symbol table that tracks all definitions and their locations, enabling accurate code completion, navigation, and refactoring across the entire project.","intents":["Resolve imports and symbol references across multiple files in a project","Discover available modules and packages without manual configuration","Enable accurate code completion and navigation in multi-file projects","Support workspace-wide refactoring (rename, move) with confidence that all references are updated"],"best_for":["Developers working on multi-file projects with complex module hierarchies","Teams with large codebases (>10k lines) where manual symbol tracking is impractical","Projects using multiple packages and dependencies that need to be resolved correctly"],"limitations":["Module discovery depends on proper Python path configuration; misconfigured paths cause resolution failures","Does not resolve symbols in dynamically imported modules or code generated at runtime","Performance degrades on very large workspaces (>100k files); 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