{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-someshkumar-jupyter-templates","slug":"jupyter-templates","name":"jupyter-templates","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=SomeshKumar.jupyter-templates","page_url":"https://unfragile.ai/jupyter-templates","categories":["code-editors"],"tags":["Advanced Jupyter Templates","Best Jupyter Templates","Free Jupyter Templates","How to Use Jupyter Templates","Installing Jupyter Templates","Jupitor","Jupitor Lab","Jupitor Lab Templates","Jupitor Notebook","Jupitor Notebook Templates","Jupitor Templates","JupitorLab","JupitorLab Templates","Jupyter","Jupyter Addon","Jupyter Data Analysis","Jupyter Data Science","Jupyter Example Templates","Jupyter Extension","Jupyter Extension VS Code","Jupyter IDE","Jupyter IDE Templates","Jupyter Lab","Jupyter Lab Addon","Jupyter Lab Customization","Jupyter Lab Data Analysis","Jupyter Lab Data Science","Jupyter Lab Example Templates","Jupyter Lab Extension","Jupyter Lab Extension VS Code","Jupyter Lab IDE","Jupyter Lab IDE Templates","Jupyter Lab Machine Learning","Jupyter Lab Plugin","Jupyter Lab Prebuilt Templates","Jupyter Lab Productivity","Jupyter Lab Setup","Jupyter Lab Snippets","Jupyter Lab Templates","Jupyter Lab Templates VS Code","Jupyter Lab VS Code","Jupyter Machine Learning","Jupyter Notebook","Jupyter Notebook Customization","Jupyter Notebook Templates","Jupyter Notebook VS Code","Jupyter Plugin","Jupyter Prebuilt Templates","Jupyter Productivity","Jupyter Setup","Jupyter Snippets","Jupyter Templates","Jupyter Templates Collection","Jupyter Templates for Beginners","Jupyter Templates for Data Science","Jupyter Templates for Experts","Jupyter Templates for Machine Learning","Jupyter Templates Pack","Jupyter Templates VS Code","Jupyter VS Code","JupyterLab","JupyterLab Addon","JupyterLab Custom Templates","JupyterLab Customization","JupyterLab Data Analysis","JupyterLab Data Science","JupyterLab Example Templates","JupyterLab Extension","JupyterLab Extension VS Code","JupyterLab IDE","JupyterLab IDE Templates","JupyterLab Integration","JupyterLab Machine Learning","JupyterLab Notebook Templates","JupyterLab Plugin","JupyterLab Prebuilt Templates","JupyterLab Productivity","JupyterLab Setup","JupyterLab Snippets","JupyterLab Templates","JupyterLab Templates VS Code","JupyterLab VS Code","Juypter","Juypter Lab","Juypter Lab Templates","Juypter Notebook","Juypter Notebook Templates","Juypter Templates","JuypterLab","JuypterLab Templates"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-someshkumar-jupyter-templates__cap_0","uri":"capability://automation.workflow.notebook.structure.capture.and.template.creation","name":"notebook-structure-capture-and-template-creation","description":"Captures the complete cell structure, metadata, and content of an open Jupyter notebook in VS Code and persists it as a named template to the extension's global storage directory. The extension reads the active notebook's .ipynb JSON structure, preserves cell types (code, markdown, raw), execution counts, and outputs, then serializes the entire notebook state under a user-provided template name for later reuse without requiring manual cell recreation.","intents":["Save the structure of a well-organized notebook so I can reuse it as a starting point for similar analyses","Create a template from my current notebook without manually copying cells to a new file","Preserve a notebook's cell organization and imports as a reusable pattern for my team"],"best_for":["data scientists and analysts working on repetitive notebook structures","teams standardizing notebook layouts for consistency","individual developers building personal notebook libraries"],"limitations":["Cannot selectively capture only certain cells — entire notebook structure is captured as a monolithic unit","No preview of what will be captured before template creation","Templates are stored as static snapshots; modifications to the original notebook after template creation are not reflected in the template","No version control or change history for templates — each save overwrites the previous version"],"requires":["VS Code with Jupyter extension installed and enabled","An active, open Jupyter notebook (.ipynb file) in the editor","Write access to the extension's global storage directory"],"input_types":["Jupyter notebook file (.ipynb) with cells, metadata, and execution state"],"output_types":["Template file stored in extension's global storage (serialized notebook structure)"],"categories":["automation-workflow","template-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-someshkumar-jupyter-templates__cap_1","uri":"capability://automation.workflow.template.instantiation.as.new.notebook","name":"template-instantiation-as-new-notebook","description":"Loads a previously saved template and creates a new, blank Jupyter notebook pre-populated with the template's cell structure, content, and metadata. The extension retrieves the template from global storage, deserializes the notebook structure, and opens it as a new untitled document in VS Code, allowing immediate editing without manual cell recreation. Execution counts and previous outputs are preserved from the template but marked as stale.","intents":["Start a new analysis notebook with my standard imports, setup cells, and markdown headers already in place","Quickly instantiate a new notebook from a template without manually recreating the cell structure","Load a team-standard notebook template to ensure consistency across projects"],"best_for":["analysts and researchers who run similar analyses repeatedly","teams enforcing notebook structure standards","developers building reproducible analysis workflows"],"limitations":["Creates a new untitled notebook that must be manually saved — no automatic file naming or destination selection","Cannot preview template contents before loading","Loaded templates are independent copies — changes to the original template after loading do not affect already-loaded notebooks","No option to load template into an existing notebook (only creates new notebooks)"],"requires":["VS Code with Jupyter extension installed","At least one saved template in the extension's global storage","Active VS Code workspace with write permissions"],"input_types":["Template name (string) selected from available templates"],"output_types":["New Jupyter notebook document (.ipynb) with template structure, ready for editing"],"categories":["automation-workflow","template-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-someshkumar-jupyter-templates__cap_2","uri":"capability://automation.workflow.template.cell.injection.into.active.notebook","name":"template-cell-injection-into-active-notebook","description":"Injects the cells from a saved template directly into the currently open notebook at the cursor position or end of the document. The extension retrieves the template structure, extracts individual cells (code, markdown, raw), and appends or inserts them into the active notebook's cell list while preserving cell types, content, and metadata. This allows augmenting an existing notebook with template content without creating a new file.","intents":["Add a standard data loading or preprocessing section to my current notebook without retyping it","Insert a template's visualization or analysis cells into an existing notebook mid-workflow","Append a team-standard footer or summary section to my notebook"],"best_for":["analysts building notebooks incrementally and wanting to inject standard sections","teams adding standardized cells (imports, logging, data validation) to existing notebooks","developers augmenting notebooks with reusable analysis blocks"],"limitations":["No control over insertion position — cells are appended or inserted at a fixed location (likely end of notebook or cursor position), not selectively placed","Cannot merge or deduplicate cells if the template contains imports or definitions already present in the target notebook","No preview of what will be inserted before injection","Execution state and outputs from the template are inserted as-is, which may be stale or incorrect for the new context"],"requires":["VS Code with Jupyter extension installed","An active, open Jupyter notebook in the editor","At least one saved template in the extension's global storage"],"input_types":["Template name (string) and active notebook document"],"output_types":["Modified active notebook with template cells appended or inserted"],"categories":["automation-workflow","template-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-someshkumar-jupyter-templates__cap_3","uri":"capability://automation.workflow.template.lifecycle.management.and.deletion","name":"template-lifecycle-management-and-deletion","description":"Provides commands to list, select, and permanently delete saved templates from the extension's global storage directory. The extension enumerates stored templates, presents them in a quick-select menu (via VS Code's QuickPick interface), and removes the selected template file when deletion is confirmed. Deleted templates cannot be recovered without external backup.","intents":["Remove outdated or unused templates to keep my template library clean","Delete a template that I no longer need or that has been superseded by a newer version","Manage template storage and prevent accumulation of obsolete templates"],"best_for":["individual developers maintaining personal template libraries","teams managing shared template collections","users who periodically audit and clean up their templates"],"limitations":["No undo or recovery mechanism — deletion is permanent and irreversible","No bulk deletion capability — templates must be deleted one at a time","No confirmation dialog or safety prompt before deletion (or confirmation is minimal)","Cannot export or archive templates before deletion","No template versioning or history — only the current version exists"],"requires":["VS Code with the jupyter-templates extension installed","At least one saved template in the extension's global storage","Write access to the extension's global storage directory"],"input_types":["Template name (string) selected from available templates"],"output_types":["Confirmation of deletion; template file removed from storage"],"categories":["automation-workflow","template-management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-someshkumar-jupyter-templates__cap_4","uri":"capability://automation.workflow.persistent.template.storage.across.extension.updates","name":"persistent-template-storage-across-extension-updates","description":"Stores all user-created templates in the extension's designated global storage directory, ensuring templates persist across VS Code updates, extension reinstalls, and application restarts. The extension uses VS Code's ExtensionContext.globalStorageUri API to access a dedicated, non-volatile storage location that survives extension lifecycle events. Templates are serialized as individual files and remain accessible after any extension version upgrade.","intents":["Ensure my templates are not lost when I update VS Code or the extension","Keep my template library intact across reinstalls or machine migrations","Build a long-term template repository without worrying about data loss"],"best_for":["users who rely on templates as part of their regular workflow","teams maintaining shared template collections across multiple machines","developers who update VS Code frequently and need persistent template storage"],"limitations":["Templates are stored locally on a single machine — no cloud sync or cross-device sharing","No built-in backup mechanism; templates are lost if the extension's global storage directory is deleted or corrupted","No export/import functionality documented, making it difficult to migrate templates to another machine or share with teammates","Storage quota is unknown; very large templates or large numbers of templates may exceed available storage","No access control or user isolation — all templates are accessible to any user with access to the VS Code installation"],"requires":["VS Code with write access to the extension's global storage directory","Sufficient disk space for template files","Stable file system (templates are not replicated or backed up by the extension)"],"input_types":["Template files (serialized notebook structures)"],"output_types":["Persistent template storage in extension's global storage directory"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-someshkumar-jupyter-templates__cap_5","uri":"capability://tool.use.integration.command.palette.driven.template.workflow","name":"command-palette-driven-template-workflow","description":"Exposes all template operations (create, load, insert, delete) through VS Code's Command Palette, allowing users to invoke template commands via keyboard shortcut (Ctrl+P or Cmd+P) and text search. Commands are registered in the extension's activation context and appear in the palette with descriptive names, enabling quick access without menu navigation or custom keybindings. The palette filters commands by user input, providing discoverability for users unfamiliar with the extension.","intents":["Quickly access template commands without navigating menus or remembering keybindings","Discover available template operations by searching the command palette","Integrate template workflows into my existing VS Code keyboard-driven workflow"],"best_for":["keyboard-centric developers who prefer command palette navigation","users new to the extension who need discoverability","teams standardizing on VS Code's built-in UI patterns"],"limitations":["No custom keybindings documented — users must use the command palette or define their own keybindings via VS Code settings","Command palette search is text-based; no hierarchical menu or categorization of template commands","No context-aware command filtering (e.g., 'Load Template' is available even if no templates exist, showing an error after selection)","No inline previews or additional information in the command palette — users must select a command to see results"],"requires":["VS Code with the jupyter-templates extension installed and activated","Knowledge of the command palette (Ctrl+P or Cmd+P)"],"input_types":["Command name (text) entered in the command palette"],"output_types":["Execution of the selected command (template creation, loading, insertion, or deletion)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"high","permissions":["VS Code with Jupyter extension installed and enabled","An active, open Jupyter notebook (.ipynb file) in the editor","Write access to the extension's global storage directory","VS Code with Jupyter extension installed","At least one saved template in the extension's global storage","Active VS Code workspace with write permissions","An active, open Jupyter notebook in the editor","VS Code with the jupyter-templates extension installed","VS Code with write access to the extension's global storage directory","Sufficient disk space for template files"],"failure_modes":["Cannot selectively capture only certain cells — entire notebook structure is captured as a monolithic unit","No preview of what will be captured before template creation","Templates are stored as static snapshots; modifications to the original notebook after template creation are not reflected in the template","No version control or change history for templates — each save overwrites the previous version","Creates a new untitled notebook that must be manually saved — no automatic file naming or destination selection","Cannot preview template contents before loading","Loaded templates are independent copies — changes to the original template after loading do not affect already-loaded notebooks","No option to load template into an existing notebook (only creates new notebooks)","No control over insertion position — cells are appended or inserted at a fixed location (likely end of notebook or cursor position), not selectively placed","Cannot merge or deduplicate cells if the template contains imports or definitions already present in the target notebook","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.41,"quality":0.37,"ecosystem":0.35000000000000003,"match_graph":0.25,"freshness":0.9,"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=jupyter-templates","compare_url":"https://unfragile.ai/compare?artifact=jupyter-templates"}},"signature":"OQuMnI245+rXRAa/FSLFrk5XxtwJII60rA2zvErlQ3h4iZI9iXQ7B5uwDkvoxApJZEreYr/xk9C79txwLy3xAQ==","signedAt":"2026-06-15T20:54:32.816Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/jupyter-templates","artifact":"https://unfragile.ai/jupyter-templates","verify":"https://unfragile.ai/api/v1/verify?slug=jupyter-templates","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"}}