Dataiku DSS
ExtensionFreeEdit Dataiku DSS recipes, plugins, wiki articles and web apps directly into Visual Studio Code.
Capabilities11 decomposed
bidirectional code recipe synchronization with remote dss instance
Medium confidenceEnables real-time editing of Python and R code recipes stored in a Dataiku DSS instance directly within VS Code's editor, with automatic persistence back to the remote DSS platform via authenticated API calls. The extension maintains a local working copy of recipe files while syncing changes bidirectionally through the DSS REST API using personal API key authentication, allowing developers to leverage VS Code's native editing experience without switching to the DSS web UI.
Implements bidirectional file synchronization with a remote data platform (DSS) through VS Code's extension API, using authenticated REST API calls to persist edits back to the server while maintaining local working copies — a pattern distinct from typical local-only code editors or cloud-only IDEs
Provides native VS Code integration for DSS artifact editing without requiring browser context switching, unlike the DSS web UI, while maintaining full bidirectional sync unlike disconnected local editing tools
remote recipe execution with live log streaming
Medium confidenceAllows developers to trigger execution of Python and R recipes on a connected Dataiku DSS instance directly from VS Code via a status bar button, with real-time streaming of execution logs back to the VS Code output window. The extension sends execution requests through the DSS REST API and polls for completion status while displaying stdout/stderr output, enabling rapid iteration without leaving the editor.
Integrates remote recipe execution directly into VS Code's UI paradigm (status bar button + output window) with live log streaming, rather than requiring navigation to a separate execution interface or web dashboard
Faster iteration than DSS web UI execution because developers stay in their editor context; more reliable than local execution because it uses the production DSS environment with all dependencies pre-configured
output window log streaming for recipe execution feedback
Medium confidenceStreams execution logs from remote recipe runs directly into VS Code's output window, displaying stdout and stderr output in real-time as the recipe executes on the DSS instance. The extension polls the DSS API for log updates and appends them to the output window, providing immediate feedback without requiring navigation to the DSS web UI.
Integrates remote recipe execution logs into VS Code's native output window using polling-based log streaming, providing a unified debugging experience without leaving the editor
More convenient than DSS web UI log viewing because logs are displayed in the editor context; faster feedback than manual log checking in the web UI
local recipe execution with dataiku package integration
Medium confidenceEnables execution of Python and R recipes locally within VS Code using the locally-installed dataiku package, allowing developers to test recipes against local data or development datasets without requiring a remote DSS instance. The extension delegates execution to VS Code's native Python or R extension (e.g., Microsoft Python Extension) while providing the dataiku package context for DSS-specific operations.
Bridges local development environments with Dataiku's dataiku package by delegating execution to VS Code's native language extensions while maintaining DSS API compatibility, enabling offline-first development workflows
Faster than remote execution for rapid iteration; more flexible than DSS web UI because it allows arbitrary local data sources and debugging tools, but requires more setup than pure remote execution
project and plugin structure browsing with sidebar navigation
Medium confidenceProvides a dedicated sidebar panel in VS Code that displays the hierarchical structure of Dataiku DSS projects and plugins, allowing developers to browse, expand, and navigate to specific artifacts (recipes, libraries, plugins, wiki articles) without leaving the editor. The extension queries the DSS REST API to populate the tree view and handles file opening/creation through standard VS Code file operations.
Integrates DSS project structure into VS Code's native sidebar tree view paradigm, using the extension API to populate a custom tree data provider that queries the DSS REST API on demand
More discoverable than command-palette-based navigation; faster than web UI project browsing because it's always visible in the sidebar and doesn't require page loads
wiki article creation and editing
Medium confidenceAllows developers to create, edit, and delete wiki articles stored in Dataiku DSS directly from VS Code, treating wiki articles as plain text files that sync bidirectionally with the DSS instance. The extension handles wiki article persistence through the DSS REST API while leveraging VS Code's native text editing capabilities.
Extends VS Code's text editing capabilities to DSS wiki articles by treating them as synchronized files, enabling developers to use familiar markdown editing workflows for platform documentation
More convenient than DSS web UI wiki editor for developers already in VS Code; enables version control and local backups unlike web-only wiki systems
plugin file and folder management with context menu operations
Medium confidenceProvides context menu operations (add, edit, delete) for managing plugin files and folders within DSS plugins, allowing developers to create new plugin components, modify existing files, and remove obsolete code without using the DSS web UI. The extension uses the DSS REST API to perform file system operations on the remote plugin directory structure.
Integrates DSS plugin file management into VS Code's context menu paradigm, enabling file operations through familiar right-click menus rather than requiring navigation to separate plugin management interfaces
More efficient than DSS web UI plugin editor for developers managing multiple files; integrates with VS Code's native file explorer for familiar UX
multi-instance dss configuration with environment variable and config file support
Medium confidenceSupports configuration of multiple Dataiku DSS instances through environment variables, a JSON configuration file (~/.dataiku/config.json), or VS Code command palette, allowing developers to switch between different DSS environments (dev, staging, production) without reconfiguring the extension. The extension reads configuration from environment variables first, then falls back to the config file, with a designated default instance for operations.
Implements a three-tier configuration precedence system (environment variables > config file > command palette) with support for named instances in the config file, enabling flexible deployment scenarios from local development to containerized CI/CD environments
More flexible than single-instance-only tools; more secure than hardcoded credentials in extension settings, though less secure than encrypted credential stores
command palette integration for dss configuration and operations
Medium confidenceExposes DSS-related operations through VS Code's command palette, including commands to configure DSS API credentials, set DSS instance URL, and trigger recipe execution. This allows developers to perform DSS operations without navigating menus or using keyboard shortcuts, following VS Code's standard command-driven UX paradigm.
Integrates DSS configuration and operations into VS Code's native command palette, enabling command-driven workflows that align with VS Code's design philosophy and allow discoverability through fuzzy search
More discoverable than keyboard shortcuts or menu navigation; more efficient than GUI dialogs for power users familiar with command palette workflows
ssl certificate verification configuration for local recipe execution
Medium confidenceProvides configuration options to enable or disable SSL certificate verification when executing recipes locally, allowing developers to work with DSS instances using self-signed certificates or in development environments with certificate issues. The extension passes SSL verification settings to the local Python/R execution environment.
Provides granular SSL verification control at the extension level, allowing developers to work with non-standard certificates without modifying system-wide settings or using environment variable workarounds
More flexible than system-wide certificate configuration; more convenient than manual environment variable management for development workflows
status bar integration for recipe execution control
Medium confidenceDisplays a button in VS Code's bottom status bar that triggers remote recipe execution on the connected DSS instance, providing a single-click interface for executing the currently-open recipe file. The status bar button integrates with the remote execution capability, allowing developers to test recipes without opening menus or using command palette.
Integrates recipe execution into VS Code's status bar as a persistent, single-click affordance, reducing friction for rapid iteration workflows compared to command palette or menu-based execution
More discoverable and faster than command palette execution; more convenient than web UI execution because it's always visible and requires no context switching
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓data engineers and data scientists already using Dataiku DSS who prefer VS Code as their primary editor
- ✓teams migrating from DSS web UI workflows to IDE-based development
- ✓developers building complex recipes who need advanced editor features like multi-file refactoring
- ✓data engineers debugging recipe logic during development
- ✓teams using test-driven development for data pipelines
- ✓developers who need tight feedback loops between code edits and execution
- ✓data engineers debugging recipe logic and errors
- ✓developers monitoring recipe execution during development
Known Limitations
- ⚠Requires DSS instance version 6.0.0 or higher; feature availability varies by DSS version
- ⚠Bidirectional sync is file-level only — no conflict resolution for simultaneous edits in VS Code and DSS web UI
- ⚠Cannot edit non-code DSS artifacts (datasets, flows, visual recipes) — only code recipes, libraries, and plugins
- ⚠Network latency on recipe save depends on DSS instance responsiveness; no offline editing capability
- ⚠Execution happens on the remote DSS instance, not locally — requires network connectivity and DSS availability
- ⚠No built-in timeout or cancellation mechanism documented; long-running recipes may block the extension
Requirements
Input / Output
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Edit Dataiku DSS recipes, plugins, wiki articles and web apps directly into Visual Studio Code.
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