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Deepnote Toolkit is a set of tools to power [Deepnote data workspaces](https://deepnote.com/docs/workspaces).
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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.
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# Deepnote Toolkit: SQL, charts, and notebook utilities
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Deepnote Toolkit powers [Deepnote Cloud](https://deepnote.com) and [Deepnote Open Source](https://github.com/deepnote/deepnote).
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It starts and manages Jupyter, Streamlit, and LSP servers, and provides runtime integrations for fast and reliable experience.
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## Features
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-**Python kernel with scientific computing libraries preinstalled**, allowing you to focus on work instead of fighting with Python dependencies
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-**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](https://deepnote.com/docs/getting-started))*
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-**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](https://deepnote.com/docs?utm_source=github&utm_medium=github&utm_campaign=github&utm_content=readme_main))
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-**Visualize data with chart blocks**, using Vega, along with additional support for Altair and Plotly
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- Native **Deepnote component library** including beautiful `DataFrame` rendering and interactive inputs
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-**Visualize data with Vega**, along with additional support for Altair and Plotly
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-**Python kernel with curated set of libraries preinstalled**, allowing you to focus on work instead of fighting with Python dependencies
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- Run multiple **interactive applications built with Streamlit**
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- Language Server Protocol integration for code completion and intelligence
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- Git integration with SSH/HTTPS authentication
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## Installation
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## How to install Deepnote Toolkit
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Although Deepnote Toolkit can be run as a Python package via the CLI, we highly recommend first trying Deepnote via our [OSS offerings](https://github.com/deepnote/deepnote) including our VS Code, Cursor and Windsurf extensions or registering for the SaaS version at [deepnote.com](https://deepnote.com).
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Deepnote Toolkit can be run as a Python package via the CLI, you can also try Deepnote via our [open sourced repositories](https://github.com/deepnote/) including our VS Code, Cursor and Windsurf extensions or via [Deepnote Cloud](https://deepnote.com).
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To start Deepnote Toolkit locally, first install it via `pip` or your favorite package manager:
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To start Deepnote Toolkit locally, install via `pip` or your favorite package manager:
deepnote-toolkit config set server.jupyter_port 9000
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```
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**Security Note**: The CLI will warn if Jupyter runs without authentication. For local development only. Set `DEEPNOTE_JUPYTER_TOKEN` for shared environments.
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**Security note**: The CLI will warn if Jupyter runs without authentication. For local development only. Set `DEEPNOTE_JUPYTER_TOKEN` for shared environments.
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