Deepnote Toolkit is a set of tools to power Deepnote data workspaces. It is responsible for starting and managing servers (Jupyter, Streamlit, LSP), as well as providing runtime integrations for a hassle-free experience when it comes to all your data needs.

• Python kernel with scientific computing libraries preinstalled, allowing you to focus on work instead of fighting with Python dependencies
• 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 are listed in documentation)
• Native Deepnote component library including beautiful DataFrame rendering and interactive inputs
• Visualize data with Vega, along with additional support for Altair and Plotly
• Run multiple interactive applications built with Streamlit
• Language Server Protocol integration for code completion and intelligence
• Git integration with SSH/HTTPS authentication

Although Deepnote Toolkit can be run as a Python package via the CLI, we highly recommend first trying Deepnote via our OSS offerings including our VS Code, Cursor and Windsurf extensions or registering for the SaaS version at deepnote.com.

To start Deepnote Toolkit locally, first install it 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]

To run Toolkit locally 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.

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

Apache License 2.0 (see LICENSE for details)

• Documentation: docs.deepnote.com
• Issues: GitHub Issues
• Security: See security guideline for reporting vulnerabilities