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Dataiku Developer Guide
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      • Getting Started
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  • Getting started
    • Accelerate AI success with Dataiku
    • Coding with Dataiku
      • My first Code Studio
      • PyCharm plugin for Dataiku
      • VSCode extension for Dataiku
    • Basic workflow
    • MLOps lifecycle
    • Dataiku Python APIs
      • Dataiku’s Public API: A Comprehensive Guide
      • Using Dataiku’s Python packages
      • Dataiku REST API
  • Concepts and examples
    • Datasets
      • Datasets (reading and writing data)
      • Datasets (other operations)
    • Managed folders
    • The main API client
    • Pyspark recipes
    • Projects
    • Recipes
    • Scenarios
    • Flow creation and management
    • LLM Mesh
    • Agents
    • Visual Machine learning
    • Experiment Tracking
    • Statistics worksheets
    • API Designer
      • Calling another endpoint
      • Access HTTP Request Metadata
      • Return custom HTTP responses
    • API Deployer
    • Project Deployer
    • Static insights
    • Jobs
    • Authentication information and impersonation
    • Importing tables as datasets
    • Wikis
    • Discussions
    • Performing SQL, Hive and Impala queries
    • SQL Query
    • Project libraries
    • Meanings
    • Users and groups
    • Connections
    • Scenarios (in a scenario)
    • Code envs
    • Plugins
    • Project folders
    • Dataiku Applications
    • Feature Store
    • Streaming Endpoints
    • Snowpark
    • Databricks Connect
    • Bigframes
    • Metrics and checks
    • Model Evaluation Stores
    • Administration
    • Utilities
    • Clusters
    • Code Studios
    • Fleet Manager
      • The main FMClient class
      • Fleet Manager Instances
      • Fleet Manager Virtual Networks
      • Fleet Manager Instance Templates
      • Load Balancers
      • Fleet Manager Accounts
      • Fleet Manager Tenant
      • Fleet Manager Future
    • Cloud (Launchpad)
    • Dataiku Govern
      • The main GovernClient class
      • Artifacts
        • Govern Artifacts
        • Govern Artifact Workflow
        • Govern Artifact Search
        • Retrieve files from Govern artifacts
        • Retrieve time series data from Govern artifacts
      • Administration
        • Authentication information and impersonation
        • Users and groups
        • Other administration tasks
        • Govern Roles and Permissions
          • Add a rule to assign a role to a new user
          • Bootstrap default groups matching provided roles
        • Utilities
      • Advanced Govern
        • Scripts for Governance Policies
        • Govern Custom Pages
        • Govern Custom Pages Handler
        • Automate actions with Govern Hooks
        • Govern Actions
        • Govern Blueprint Designer
          • View blueprints and blueprint versions
          • Fork a Govern project blueprint version
          • Script a blueprint migration
          • Govern Blueprint HTML Documentation
      • Govern Helpers
        • Dataiku and Govern items getter helpers functions
        • Dataiku and Govern items modifier helpers functions
      • Govern Deployments
        • Governance checks with multi envs
    • Workspaces
    • Catalog Collections
    • Enterprise Asset Library
    • Data Quality
    • Webapps
  • Tutorials
    • Administration
      • Monitoring Disk Usage
      • Retrieve AWS Credentials from the Dataiku API
    • AI Governance
      • Hooks and Scenarios
      • Manipulating Artifact Fields with Govern Custom Actions
    • Data Engineering
      • Data quality assessments (SQL Datasets)
      • Leveraging SQL in Python & R
      • Using Bigframes Python in Dataiku: basics
      • Using Dask DataFrames in Dataiku
      • Using Snowpark Python in Dataiku: basics
      • Using Spark RAPIDS on Dataiku
      • Sessionization in SQL, Hive, and Python
    • Developer tools
      • Code Studio
        • My first Code Studio
        • Code assistants in Code Studios
          • Best practices with code assistants
          • Using Claude Code
          • Using Codex
          • Using GitHub Copilot
          • Using Gemini CLI
          • Using OpenCode
        • Editing Code
        • Editing Code Agent
        • Editing Webapp
        • Using JupyterLab
        • Using RSudio
      • Git usage in Dataiku
        • Git basics in Dataiku
        • Configuring per-user SSH in Dataiku
        • Git collaboration
        • Using the API to interact with Git for project versioning
      • Miscellaneous
        • Using Git shared code in your projects
        • Running unit tests on project libraries
    • Generative AI
      • Agents & tools
        • Creating a Custom Python Tool
        • Creating a custom tool
        • Leveraging a custom tool in a Visual Agent
        • Creating and using a Code Agent
        • Integrating an agent framework
        • Creating a custom agent
        • Creating a custom LLM Connection
        • Multi agents: sequential workflow
        • LLM Mesh agentic applications
          • Defining and using tools with the LLM Mesh
          • Creating an LLM-based agent that uses multiple tools
          • Building a Web Application with the agent
        • Connecting to an external Vector Store
        • Model Context Protocol (MCP)
          • Building your MCP Server in Dataiku
        • Building and using an agent with Dataiku’s LLM Mesh and Langchain
        • Using a Dataiku Agent in an external application
        • Using the LLM Mesh to parse and output JSON objects
        • Building Auto Prompt Strategies with DSPy in Dataiku
        • Agent logging
        • Adding traces to your Agent
      • Pre-training an LLM
      • Aligning an LLM
      • Multimodal capabilities
        • Images Generation
        • Images Captioning
        • Generative Adversarial Networks
      • Natural language
        • Programmatic RAG with Dataiku’s LLM Mesh and Langchain
        • RAG: Improving your Knowledge Bank retrieval
        • Creating and using a Knowledge Bank
        • Using LLM Mesh to benchmark zero-shot classification models
        • Zero-shot text classification with the LLM Mesh
        • Few-shot classification with the LLM Mesh
        • Using OpenAI-compatible API calls via the LLM Mesh
        • Customizing a Text Embedding Model for RAG Applications
      • Webapps
        • API Endpoint on LLM
        • Dash: API LLM based agent
        • Dash: GPT-powered web app assistant
        • Dash: LLM based agent
        • Gradio: First application
        • Gradio: LLM based agent
        • Voilà: First application
        • Voilà: LLM based agent
    • Machine Learning
      • Quickstart Tutorial
        • Step 1: Prepare the input dataset for ML modeling
        • Step 2: Test different Machine Learning models for heart failures prediction
        • Step 3: Create a Dataiku Saved Model using the best-performing model
      • Using LIME for Model Explainability
      • Predictive Model Maintenance for Binary Classification
      • Using Reinforcement Learning for Hyperparameter Tuning
      • Transfer Learning Techniques
        • Transductive Transfer Learning
        • Unsupervised Transfer Learning
      • Experiment Tracking
        • Experiment Tracking with the PythonModel module
        • Experiment Tracking for NLP with Keras/Tensorflow
        • Experiment tracking with Catboost
        • Experiment tracking with LightGBM
        • Experiment tracking with scikit-learn
      • Pre-trained Models
        • Load and re-use a TensorFlow Hub model
        • Load and re-use a PyTorch model
        • Load and re-use a Hugging Face model
        • Load and re-use a SentenceTransformers word embedding model
        • Load and re-use a spaCy named-entity recognition model
        • Load and re-use an NLTK tokenizer
      • Model Import
        • Importing serialized scikit-learn pipelines as Saved Models for MLOps
      • Model Export
        • Wrapping an exported model in a CLI tool
        • Deploying a model to an edge device with AWS IoT Greengrass
      • Distributed ML Training using Ray
      • Scanning Models with Protect AI Guardian Using Python
    • Plugins development
      • Foreword
      • Creating and configuring a plugin
      • Setting up a dedicated instance for developing plugins
      • Versioning for plugin
        • Git integration for plugins
        • Plugin version management with Git
      • Datasets
        • Creating a plugin Dataset component
      • File Format
        • Writing a plugin File Format component to allow ICal import in Dataiku
      • LLM Mesh
        • Creating a custom agent
        • Creating a custom tool
        • Creating a custom guardrail
        • Creating a custom LLM Connection
        • Creating a structured agent block component
      • Macros
        • Creating a plugin Macro component
        • Writing a macro for project creation
        • Writing a macro for managing regression tests
      • Parameter sets
        • Creating a parameter set component
      • Processor plugin component
        • Creating a plugin Processor component
      • Project Standards Check component
        • Creating a Project Standards Check component
      • Prediction algorithm
        • Creating a plugin Prediction Algorithm component
      • Recipes
        • Creating a plugin Recipe component
        • Writing a custom recipe to remove outliers from a dataset
      • Sample dataset
        • Creating a sample dataset
      • Webapps
        • Turning an existing webapp into a webapp plugin component
    • Webapps
      • Common subjects on webapps
        • Accessible resources from webapps
        • Creating an API endpoint from webapps
        • Querying the LLM from an headless API
        • Accessing and understanding logs for WebApps
        • Impersonation with webapps
      • Bokeh
        • Bokeh: Your first webapp
      • Dash
        • Create an empty dash webapp
        • Dash: your first webapp
        • Display a Bar chart using Dash
        • Create a simple admin project dashboard using Dash.
        • Create a simple multi-page webapp
        • Uploading or downloading files with Managed Folders in Dash
        • How to create a form for data input?
        • Simple scoring application
        • Listing and deleting a selection of projects
        • Creating an API endpoint for using an LLM-Based agent
        • Using Dash and LLM Mesh to build a GPT-powered web app assistant
        • Creating a Dash application using an LLM-based agent
      • Gradio
        • Gradio: your first web application
        • Creating a Gradio application using an LLM-based agent
      • Standard (HTML, CSS, JS)
        • HTML/CSS/JS: your first webapp
        • Adapt a D3.js Template in a Webapp
        • Use Custom Static Files (Javascript, CSS) in a Webapp
        • Serve and share your static webapp
        • Uploading to Dataiku in a Webapp
        • Downloading from a Dataiku Webapp
        • How to create a form for data input?
        • Simple scoring application
      • Streamlit
        • Streamlit: your first webapp
        • Streamlit: your first webapp using code studio
      • Use your own framework.
        • Basic setup: Code studio template
        • Basic setup: Quickstart with Angular & Vue Templates
        • Basic setup: Deploy your web application
        • Advanced setup: Code Studio template creation
        • Advanced setup: Web application creation and publication
        • Advanced setup: Next.js web application creation and publication
      • Voilà
        • Voilà: your first web application
        • Creating a Voilà application using an LLM-based agent
    • xOps
      • Project deployment
  • What’s new
    • 2026
      • January 2026
      • February 2026
      • March, 2026
      • April 2026
      • May 2026
  • API Reference
    • Python
      • Index
      • Datasets
      • Managed folders
      • The main API client
      • Interaction with Pyspark
      • Projects
      • Recipes
      • Scenarios
      • Flow creation and management
      • LLM Mesh
        • LLM Mesh Core
        • LLM Mesh Retrieval And Knowledge Banks
        • LLM Mesh Integrations
        • Document Extraction For LLM Workflows
        • Local Models For LLM Mesh
      • Agents
      • Machine learning
      • Experiment Tracking
      • Statistics worksheets
      • Semantic models
      • API Designer
      • API Deployer
      • Project Deployer
      • Static insights
      • Jobs
      • Authentication information and impersonation
      • Importing tables as datasets
      • Wiki
      • Discussions
      • Performing SQL, Hive and Impala queries
      • SQL Query
      • Project libraries
      • Meanings
      • Users and groups
      • Connections
      • Scenarios (in a scenario)
      • Code envs
      • Plugins
      • Project folders
      • Macros
      • Dataiku applications
      • Feature Store
      • Streaming endpoints
      • Snowpark
      • Databricks Connect
      • Bigframes
      • Unified Monitoring
      • Metrics and checks
      • Model Evaluation Stores
      • Other administration tasks
      • Utilities
      • Index of the dataiku package
      • Index of the dataikuapi package
      • API for plugin components
        • API for plugin recipes
        • API for plugin datasets
        • API for plugin formats
        • API for plugin FS providers
      • Clusters
      • Datadir footprint
      • Code Studios
      • Fleet Manager
      • Govern
      • Workspaces
      • Catalog Collections
      • Data Quality
      • Webapps
      • Dashboards
      • Insights
      • Messaging channels
      • Project Standards
      • Enterprise Asset Library
      • Agents Review
      • Cloud
You are viewing the developer guide for version 15 of DSS.
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Getting started¶

This section gives you an overview of the Dataiku platform from the perspective of a new user working primarily with code.

Accelerate AI success with Dataiku
Accelerate AI success with Dataiku
Development environment
Coding with Dataiku
Basic workflow
Basic workflow
MLOps lifecycle
MLOps lifecycle
The Dataiku Python APIs
Dataiku Python APIs
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