{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-kedro-kedro","slug":"kedro","name":"Kedro","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=kedro.Kedro","page_url":"https://unfragile.ai/kedro","categories":["code-editors"],"tags":["development tool","kedro","machine learning","python","yaml"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-kedro-kedro__cap_0","uri":"capability://code.generation.editing.static.code.navigation.with.kedro.schema.awareness","name":"static-code-navigation-with-kedro-schema-awareness","description":"Enables Go-to-Definition and Find-Reference navigation within Kedro projects by parsing pipeline.py files and resolving references to configuration files (catalog.yml, parameters.yml) using static AST analysis. Implements bidirectional linking: from pipeline definitions to YAML configs and vice versa, without executing code or requiring runtime introspection. Uses VSCode's built-in language server protocol (LSP) to register custom definition and reference providers scoped to Kedro project structure.","intents":["Jump to a dataset definition in the catalog when referenced in a node","Find all nodes that use a specific parameter across the project","Navigate from a pipeline.py file to its corresponding YAML configuration","Locate all references to a dataset in the codebase"],"best_for":["Kedro pipeline developers building data workflows","Teams maintaining large multi-pipeline projects with complex dependencies","Data engineers refactoring pipeline configurations"],"limitations":["Only searches within <package_name>/pipelines/ directory structure; nested pipelines must follow this convention","Cannot resolve dynamic references (e.g., dataset names constructed at runtime)","No cross-workspace navigation; limited to single VSCode workspace root","Requires Kedro project to be at workspace root; does not support arbitrary subdirectories"],"requires":["VSCode 1.64.0 or greater","Python extension for VSCode (version unspecified)","Kedro >= 0.19","Valid Kedro project with bootstrap_project capability"],"input_types":["Python source code (pipeline.py)","YAML configuration files (catalog.yml, parameters.yml)"],"output_types":["File location references (line/column positions)","Hyperlinks to definition locations"],"categories":["code-generation-editing","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kedro-kedro__cap_1","uri":"capability://code.generation.editing.schema.based.autocompletion.for.pipeline.definitions","name":"schema-based-autocompletion-for-pipeline-definitions","description":"Provides context-aware autocomplete suggestions when typing dataset or parameter names in pipeline.py files by matching against the Kedro data catalog and parameters schema. Triggered by typing a double-quote character within a pipeline definition, the extension queries the project's catalog.yml and parameters.yml to suggest valid identifiers. Uses VSCode's CompletionItemProvider API to register custom completion handlers that validate suggestions against Kedro's schema, preventing typos and invalid references.","intents":["Auto-complete dataset names when defining node inputs/outputs","Suggest parameter keys when accessing params in pipeline code","Reduce typos in dataset references across the pipeline","Discover available datasets and parameters without manually reviewing catalog"],"best_for":["Kedro developers writing pipeline definitions for the first time","Teams enforcing strict data catalog governance","Large projects with hundreds of datasets where manual lookup is impractical"],"limitations":["Autocompletion only triggers on double-quote character; no fuzzy matching or prefix-based suggestions","Does not suggest parameter paths for nested YAML structures; only top-level keys","No real-time sync with catalog changes; requires manual server restart after catalog modifications","Cannot autocomplete dynamically-generated dataset names or parameters"],"requires":["VSCode 1.64.0 or greater","Python extension for VSCode","Kedro >= 0.19","Valid catalog.yml and parameters.yml files in Kedro project"],"input_types":["Python source code (pipeline.py) with cursor position"],"output_types":["Completion item list with dataset/parameter names and descriptions"],"categories":["code-generation-editing","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kedro-kedro__cap_2","uri":"capability://code.generation.editing.hover.based.metadata.extraction.for.pipeline.elements","name":"hover-based-metadata-extraction-for-pipeline-elements","description":"Displays contextual metadata when hovering over pipeline elements (dataset names, parameter keys, node definitions) by extracting information from Kedro configuration files and pipeline definitions. Implements VSCode's HoverProvider API to parse YAML catalog entries and parameter definitions, then renders formatted tooltips showing dataset type, location, description, and parameter values. Performs static metadata extraction without executing code or querying runtime state.","intents":["Quickly view dataset properties (type, location, format) without opening catalog file","Check parameter values during pipeline development","Understand node dependencies and data flow at a glance","Verify dataset descriptions and metadata during code review"],"best_for":["Kedro developers reviewing pipeline code and understanding data dependencies","Teams conducting code reviews of pipeline changes","Data engineers onboarding to existing Kedro projects"],"limitations":["Hover information is static and does not reflect runtime state or actual data statistics","Cannot display computed or derived metadata; only shows catalog definitions","Requires catalog entries to have descriptions; missing descriptions result in minimal hover content","No support for custom metadata fields beyond Kedro's standard schema"],"requires":["VSCode 1.64.0 or greater","Python extension for VSCode","Kedro >= 0.19","Populated catalog.yml and parameters.yml files"],"input_types":["Python source code (pipeline.py) with cursor hover position"],"output_types":["Formatted markdown/text tooltip with metadata"],"categories":["code-generation-editing","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kedro-kedro__cap_3","uri":"capability://safety.moderation.schema.validation.for.kedro.configuration.files","name":"schema-validation-for-kedro-configuration-files","description":"Validates catalog.yml and parameters.yml files against Kedro's schema in real-time as the developer edits, providing inline error markers and diagnostic messages for invalid configurations. Implements VSCode's DiagnosticsCollection API to register a custom validator that parses YAML files and checks them against Kedro's schema definition, reporting missing required fields, invalid data types, and malformed entries. Validation runs on file save and during editing, with errors displayed in the Problems panel and inline in the editor.","intents":["Catch configuration errors before running the pipeline","Validate dataset definitions match Kedro's schema requirements","Ensure parameter files are syntactically correct YAML","Prevent runtime failures due to misconfigured catalog entries"],"best_for":["Kedro teams enforcing configuration quality standards","Developers new to Kedro learning the configuration schema","Large projects with complex catalog structures requiring validation"],"limitations":["Validation is schema-based only; does not check semantic correctness (e.g., whether a file path actually exists)","Cannot validate cross-references between catalog and parameters files","Does not support custom validation rules or project-specific schema extensions","Requires manual server restart after Kedro version upgrades that change schema"],"requires":["VSCode 1.64.0 or greater","Python extension for VSCode","Kedro >= 0.19","YAML files in standard Kedro project structure"],"input_types":["YAML configuration files (catalog.yml, parameters.yml)"],"output_types":["Diagnostic messages with error location (line/column) and description"],"categories":["safety-moderation","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kedro-kedro__cap_4","uri":"capability://image.visual.interactive.pipeline.visualization.with.node.navigation","name":"interactive-pipeline-visualization-with-node-navigation","description":"Renders an interactive flowchart visualization of the Kedro pipeline DAG in a VSCode sidebar panel using Kedro-Viz, displaying nodes, datasets, and dependencies as a directed acyclic graph. Implements hyperlink navigation from flowchart nodes to their corresponding Python function definitions and from data nodes to their catalog entries. The visualization updates when pipeline definitions change, with an optional auto-reload feature that refreshes the graph without manual server restart. Uses Kedro-Viz as an embedded visualization engine, rendering the DAG in a webview panel within VSCode.","intents":["Visualize pipeline structure and data dependencies without leaving VSCode","Navigate from flowchart nodes directly to their Python implementations","Understand data flow and identify bottlenecks in the pipeline","Explore complex multi-pipeline projects with visual representation"],"best_for":["Kedro developers building and debugging complex pipelines","Teams conducting visual code reviews of pipeline architecture","Data engineers optimizing pipeline performance and dependencies"],"limitations":["Visualization requires manual server restart after pipeline changes; auto-reload feature mechanism is undocumented","Cannot display runtime metrics or execution statistics; visualization is static","Kedro-Viz network connectivity requirements are undocumented; may require internet access","Large pipelines (1000+ nodes) may have performance issues; no documented scaling limits","Does not support custom visualization layouts or node styling"],"requires":["VSCode 1.64.0 or greater","Python extension for VSCode","Kedro >= 0.19","Valid Kedro project with bootstrap_project capability","Functional `kedro run` environment (extension panics if bootstrap fails)"],"input_types":["Kedro pipeline definitions (pipeline.py files)","Data catalog (catalog.yml)"],"output_types":["Interactive SVG/HTML flowchart visualization","Hyperlinks to source code and configuration files"],"categories":["image-visual","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kedro-kedro__cap_5","uri":"capability://automation.workflow.command.palette.pipeline.execution.launcher","name":"command-palette-pipeline-execution-launcher","description":"Provides a VSCode Command Palette command (`kedro: Run Kedro Viz`) that launches the Kedro-Viz visualization server and renders the pipeline flowchart in the sidebar panel. Implements VSCode's Command API to register custom commands that invoke Kedro CLI operations (e.g., `kedro viz`) through the selected Python interpreter. The command integrates with VSCode's task system to run Kedro commands in the background, displaying output in the integrated terminal and handling errors gracefully.","intents":["Launch Kedro-Viz visualization without leaving VSCode","Run Kedro pipeline commands from the editor","Execute Kedro CLI operations with a keyboard shortcut"],"best_for":["Kedro developers who prefer keyboard-driven workflows","Teams using VSCode as the primary development environment","Developers avoiding terminal context switching"],"limitations":["Command Palette discovery requires knowing the exact command name; no fuzzy search for Kedro commands","Does not support parameterized pipeline runs (e.g., selecting specific nodes or parameters)","Error handling is basic; server panics if `kedro run` fails or bootstrap_project is misconfigured","No built-in support for running multiple Kedro commands in sequence"],"requires":["VSCode 1.64.0 or greater","Python extension for VSCode","Kedro >= 0.19","Valid Kedro project with bootstrap_project capability"],"input_types":["User command invocation via Command Palette"],"output_types":["Kedro-Viz visualization in sidebar panel","Terminal output with execution logs"],"categories":["automation-workflow","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kedro-kedro__cap_6","uri":"capability://automation.workflow.python.interpreter.selection.and.environment.management","name":"python-interpreter-selection-and-environment-management","description":"Integrates with VSCode's Python extension to allow selection of the Python interpreter used for Kedro operations (pipeline execution, server initialization, code analysis). Provides a command (`> Python: select interpreter`) that delegates to the Python extension's interpreter picker, allowing developers to switch between virtual environments, conda environments, or system Python installations. The selected interpreter is used for all Kedro CLI operations and code analysis within the extension.","intents":["Switch between different Python environments for Kedro projects","Use project-specific virtual environments for pipeline execution","Manage multiple Kedro projects with different Python versions"],"best_for":["Developers managing multiple Python environments","Teams using conda or virtualenv for environment isolation","Projects requiring specific Python versions for compatibility"],"limitations":["Interpreter selection is delegated to the Python extension; no custom environment management UI in Kedro extension","Does not validate that the selected interpreter has Kedro installed","No support for remote Python interpreters (SSH, Docker) beyond VSCode's Python extension capabilities","Environment changes require manual server restart to take effect"],"requires":["VSCode 1.64.0 or greater","Python extension for VSCode (version unspecified)","Kedro >= 0.19","At least one Python interpreter available on the system"],"input_types":["User selection from Python interpreter picker"],"output_types":["Selected Python interpreter path"],"categories":["automation-workflow","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kedro-kedro__cap_7","uri":"capability://automation.workflow.kedro.project.discovery.and.configuration.selection","name":"kedro-project-discovery-and-configuration-selection","description":"Provides a command to select and configure the active Kedro project when multiple projects exist in the workspace or when the extension needs to be pointed to a non-root project directory. Implements VSCode's QuickPick API to present available Kedro projects and allows configuration of the project path. The selected project becomes the context for all subsequent code navigation, visualization, and command execution. Configuration mechanism is undocumented but likely stored in VSCode workspace settings.","intents":["Work with multiple Kedro projects in a monorepo workspace","Configure the extension to use a Kedro project in a subdirectory","Switch between different Kedro projects without reloading VSCode"],"best_for":["Developers working in monorepo structures with multiple Kedro projects","Teams with complex workspace layouts","Projects where Kedro is not at the workspace root"],"limitations":["Project discovery mechanism is undocumented; unclear how extension identifies Kedro projects","Configuration method is undocumented; unclear where settings are stored or how to manually configure","Does not support dynamic project discovery; requires manual selection","No support for project-specific settings or per-project configuration overrides"],"requires":["VSCode 1.64.0 or greater","Python extension for VSCode","Kedro >= 0.19","Multiple Kedro projects in workspace or Kedro project in non-root directory"],"input_types":["User selection from project picker"],"output_types":["Selected project path stored in workspace configuration"],"categories":["automation-workflow","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kedro-kedro__cap_8","uri":"capability://automation.workflow.language.server.lifecycle.management.with.restart.capability","name":"language-server-lifecycle-management-with-restart-capability","description":"Manages the lifecycle of the Kedro language server (`vscode-kedro` server) that powers code analysis, navigation, and validation features. Provides a command (`kedro: restart server`) to manually restart the language server when it becomes unresponsive or when project configuration changes require reinitialization. The language server is implemented as a separate process that communicates with VSCode via the Language Server Protocol (LSP), handling all static analysis and schema validation operations.","intents":["Recover from language server crashes or unresponsiveness","Reload project configuration after manual changes to catalog or parameters","Troubleshoot extension issues by restarting the underlying server"],"best_for":["Developers troubleshooting extension issues","Teams with frequently-changing project configurations","Users experiencing language server crashes"],"limitations":["Manual restart is required; no automatic recovery from server crashes","Server panics if `kedro run` fails or bootstrap_project is misconfigured; restart does not fix underlying issues","No diagnostic information provided about server state or crash reasons","Restart causes temporary loss of code analysis features until server reinitializes","Restart time is undocumented; may cause noticeable UI lag during reinitialization"],"requires":["VSCode 1.64.0 or greater","Python extension for VSCode","Kedro >= 0.19","Valid Kedro project with bootstrap_project capability"],"input_types":["User command invocation via Command Palette"],"output_types":["Language server process restart, resumption of code analysis"],"categories":["automation-workflow","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-kedro-kedro__cap_9","uri":"capability://image.visual.pipeline.view.filtering.and.selection","name":"pipeline-view-filtering-and-selection","description":"Provides a command (`kedro: Select Pipeline View`) to filter the Kedro-Viz visualization to display only specific pipelines when a project contains multiple pipelines. Implements VSCode's QuickPick API to present available pipelines and allows selection of which pipeline(s) to visualize. The visualization updates to show only the selected pipeline's nodes and dependencies, enabling focused exploration of large multi-pipeline projects. Filtering is applied to the Kedro-Viz rendering without modifying the underlying project configuration.","intents":["Focus on a specific pipeline when the project has multiple pipelines","Reduce visual clutter in large projects with many pipelines","Explore individual pipeline dependencies without seeing the entire project DAG"],"best_for":["Developers working on multi-pipeline Kedro projects","Teams with complex pipeline architectures","Projects with 10+ pipelines where full visualization is overwhelming"],"limitations":["Filtering is applied only to visualization; does not affect code navigation or other features","Does not support filtering by node type or dataset; only pipeline-level filtering","No support for multi-select; only one pipeline can be viewed at a time","Filter selection is not persisted; resets to full view on server restart"],"requires":["VSCode 1.64.0 or greater","Python extension for VSCode","Kedro >= 0.19","Kedro project with multiple pipelines"],"input_types":["User selection from pipeline picker"],"output_types":["Filtered Kedro-Viz visualization showing selected pipeline only"],"categories":["image-visual","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":35,"verified":false,"data_access_risk":"moderate","permissions":["VSCode 1.64.0 or greater","Python extension for VSCode (version unspecified)","Kedro >= 0.19","Valid Kedro project with bootstrap_project capability","Python extension for VSCode","Valid catalog.yml and parameters.yml files in Kedro project","Populated catalog.yml and parameters.yml files","YAML files in standard Kedro project structure","Functional `kedro run` environment (extension panics if bootstrap fails)","At least one Python interpreter available on the system"],"failure_modes":["Only searches within <package_name>/pipelines/ directory structure; nested pipelines must follow this convention","Cannot resolve dynamic references (e.g., dataset names constructed at runtime)","No cross-workspace navigation; limited to single VSCode workspace root","Requires Kedro project to be at workspace root; does not support arbitrary subdirectories","Autocompletion only triggers on double-quote character; no fuzzy matching or prefix-based suggestions","Does not suggest parameter paths for nested YAML structures; only top-level keys","No real-time sync with catalog changes; requires manual server restart after catalog modifications","Cannot autocomplete dynamically-generated dataset names or parameters","Hover information is static and does not reflect runtime state or actual data statistics","Cannot display computed or derived metadata; only shows catalog definitions","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.33,"quality":0.3,"ecosystem":0.3,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:34.803Z","last_scraped_at":"2026-05-03T15:20:36.253Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=kedro","compare_url":"https://unfragile.ai/compare?artifact=kedro"}},"signature":"vRk78BAyG3vX25sZuK6JRayJvm+eu86/Bz7wuFnKPproRWSFH1qyUtc3M9h95FdOhRed94K5n+CFZmt32/6mAA==","signedAt":"2026-06-19T20:47:16.810Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/kedro","artifact":"https://unfragile.ai/kedro","verify":"https://unfragile.ai/api/v1/verify?slug=kedro","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}