Skip to main content

Deepnote cover image

CI codecov

Website • Docs • Changelog • X • Examples • Community

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?

Contributing

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


Built with 💙

Release files for deepnote-toolkit 2.5.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for deepnote-toolkit 2.5.1
File Interpreter ABI Platform
deepnote_toolkit-2.5.1-py3-none-any.whl Python 3 none any Details

Release files / deepnote_toolkit-2.5.1-py3-none-any.whl

Download URL deepnote_toolkit-2.5.1-py3-none-any.whl
Size 211.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d0151be87c1608bf22d2274d12ec1e3f30ea688dd5563dbc7e8c721698579f3e
BLAKE2b-256 checksum
How to use checksums
41eaa78e2dbf05ad5b119940fd31952c347c04d83e3744b9c063fc9018f5f4c8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 26, 2026.

Transparency log
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page