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deepnote Codex Plugin

Author
Deepnote
Category
Data & Analytics
Topics
Data Engineering & Analytics · Databases & Storage
Version
0.1.5
First seen
2026-07-12
Last confirmed
2026-07-13
Explanation last updated
2026-07-12

The explanation below is AI-generated. Please verify it against the sources.

The Deepnote plugin is an official OpenAI plugin that connects ChatGPT to Deepnote's collaborative data workspace, per the plugin.json description. According to the README, it packages skills for searching workspaces, inspecting notebooks, generating project and notebook links, mapping integration usage and cached table structure, reading Deepnote docs, creating/updating/reorganizing notebook structure, running notebooks, and summarizing run history, status, and outputs. Using it requires a Deepnote account with access to the target workspace, the Deepnote app connected, and OAuth authorization for that workspace (README). The OAuth connection acts with the permissions of the connected Deepnote user, so a viewer gets read-only access while editor/admin accounts can perform matching write workflows (README). The README also notes the current tool surface does not support live database schema refreshes, row previews, single-block execution, environment mutation, permission changes, publishing, or scheduling changes.

Overview

According to its homepage, Deepnote is a collaborative data workspace combining notebooks, SQL, data apps, dashboards, and pipelines, connected to a data stack through 100+ integrations, and positioned for use by both teams and AI agents. The homepage also states Deepnote has recently become open source under Apache 2.0.

What you can do with deepnote

  • Search your Deepnote workspace for notebooks and confirm which workspace you're connected to (README)
  • Inspect a notebook and summarize its inputs, blocks, SQL, and outputs (README)
  • Create a Deepnote project or notebook and add starter markdown/code blocks (README)
  • Update or reorder notebook blocks, e.g. revise a SQL block or move blocks within a notebook (README)
  • Generate links to your Deepnote projects and notebooks (README)
  • List Deepnote integrations and view cached table structure or where an integration is used (README)
  • Run a notebook with specified inputs and review recent run history (README)
  • Look up topics in the Deepnote docs (README)

Sources

Original description (English)

Use Deepnote's collaborative data workspace to explore data, automate notebooks and SQL workflows, and turn analysis into shareable results.

History of deepnote

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