deepnote-toolkit 2.1.3

Essential Python toolkit for Deepnote environments

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Deepnote Toolkit: SQL, charts, and notebook utilities

Deepnote Toolkit powers Deepnote Cloud and Deepnote Open Source. It starts and manages Jupyter, Streamlit, and LSP servers, and provides runtime integrations for fast and reliable experience.

Features

• First-class SQL authoring and execution without overhead of database connectors and SDKs (all supported integrations with data warehouses, databases, cloud storages, and many other tools listed in documentation)
• Visualize data with chart blocks, using Vega, along with additional support for Altair and Plotly
• Native Deepnote component library including beautiful DataFrame rendering and interactive inputs
• Python kernel with curated set of libraries preinstalled, allowing you to focus on work instead of fighting with Python dependencies
• Run multiple interactive applications built with Streamlit
• Language Server Protocol integration for code completion and intelligence
• Git integration with SSH/HTTPS authentication

How to install Deepnote Toolkit

Deepnote Toolkit can be run as a Python package via the CLI, you can also try Deepnote via our open sourced repositories including our VS Code, Cursor and Windsurf extensions or via Deepnote Cloud.

To start Deepnote Toolkit locally, install via pip or your favorite package manager:

pip install deepnote-toolkit

To use server components (Jupyter, Streamlit, LSP), add server extras bundle:

pip install deepnote-toolkit[server]

How to run Deepnote Toolkit

To run Deepnote Toolkit after installation use:

# show all available commands
deepnote-toolkit --help

# start Jupyter server on default port (8888)
deepnote-toolkit server

# start with custom configuration
deepnote-toolkit server --jupyter-port 9000

# view and modify configuration
deepnote-toolkit config show
deepnote-toolkit config set server.jupyter_port 9000

Security note: The CLI will warn if Jupyter runs without authentication. For local development only. Set DEEPNOTE_JUPYTER_TOKEN for shared environments.

Need help?

• Join our Community!
• Open an issue for bug reports or feature requests
• Check out our documentation
• Learn how to report security vulnerabilities via security
• Want a low-code experience? Visit Deepnote Cloud together with Deepnote AI agent

Contributing

For more details on how to set up the local development environment and contribute, see contributing guide.

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