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Deepnote

Deepnote is an open-source, AI-oriented notebook application described as a drop-in replacement for Jupyter. It supports Python, R and SQL, notebook blocks, native data integrations, visualization and collaborative workflows.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Deepnote — OpenViST project profile in AI Data & Analytics.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Deepnote when a Jupyter-compatible notebook needs a more structured block format, reactive execution, native integrations or a route from local editing to team collaboration and deployable data apps.

Who it is for

  • Data analysts and data scientists working in Python, R or SQL.
  • Machine-learning practitioners exploring data in notebooks.
  • Developers who want notebook editing inside VS Code, Cursor or Windsurf.
  • Teams that want to move local notebook work into collaborative cloud workflows.

Documented uses

  • Create and run interactive data-science notebooks.
  • Combine code, SQL, inputs, charts and other notebook blocks.
  • Explore data with visualizations and machine-learning workflows.
  • Convert notebooks between Deepnote, Jupyter, Quarto, Percent and Marimo formats.
  • Prepare notebook-based data apps for deployment through the documented cloud workflow.
Before you choose

Requirements & limits

The repository is public and lists an Apache-2.0 license. The documented workflow supports local use in VS Code, Cursor and Windsurf, with Deepnote Cloud presented as the collaboration and managed-compute path.

  • Jupyter compatibility supports movement between existing Jupyter notebooks and Deepnote.
  • The .deepnote YAML format is designed to be human-readable and suitable for version control.
  • Reactive execution can rerun dependent blocks when inputs or data change.
  • The conversion package supports multiple notebook formats and a programmatic Node.js/TypeScript API.
  • Cloud collaboration, managed compute and deployable data apps are described as a separate scaling path from local use.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Convert a Jupyter notebook to Deepnote format

Create a Deepnote project from an existing `.ipynb` notebook.

Before you start

  • An existing notebook.ipynb file.
  • The @deepnote/convert package and a local environment in which to run its documented conversion command.

Steps

  1. Run the command below.

    Documented command
    npx @deepnote/convert notebook.ipynb

  2. Open the resulting .deepnote file in VS Code, Cursor or Windsurf using the documented Deepnote support for those editors.

Expected outcome

The Jupyter notebook is converted into a Deepnote project that can be edited locally.

Guide limitations

  • The documented command covers conversion and opening the resulting file; it does not document deployment or cloud execution.
  • Editor support is documented for VS Code, Cursor and Windsurf.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
30 September 2026
Original website title
deepnote/deepnote · Official homepage title · retained in its source language
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