deepnote/deepnote
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/ observed · 2026-08-28
Health v2 · maintenance only
79/100
- Activity 99
- Release rhythm 85
- Longevity 24
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 338
- days_rel: 20
- days_push: 7
- n_releases_24m: 98
Adoption not part of the score
2998 stars · 198 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Deepnote is an open-source, AI-first drop-in replacement for Jupyter notebooks with a human-readable YAML format, block-based architecture (SQL, charts, inputs, agent blocks), and reactive execution. It runs locally in VS Code and other editors via the Deepnote Toolkit, and scales to Deepnote Cloud for real-time collaboration, AI agents, scheduling, and deployable data apps.
Use cases
- replace Jupyter with a modern AI-powered data notebook
- run SQL and Python in the same notebook against Snowflake or BigQuery
- build interactive dashboards and data apps from notebooks
- schedule notebooks to run ETL pipelines on a cron basis
- collaborate with a team on data analysis in real time
- convert existing ipynb notebooks to a git-friendly format
- use an AI agent to explore data and generate SQL queries
- define consistent metric definitions with a semantic layer
When to choose
- you want a Jupyter-compatible notebook with better UI, SQL blocks, and AI assistance
- you need version-control-friendly notebook files with clean diffs
- you want to publish analyses as shareable apps or scheduled reports
- your team needs real-time collaborative data science with 80+ data integrations
When to avoid
- you need a fully self-hosted collaborative cloud experience, which requires Deepnote Cloud
- you depend on the classic .ipynb ecosystem and tooling without conversion
- you only need lightweight scripting without notebooks or data integrations
- AI features require paid plans and send notebook content to third-party model providers
Facets
application · maturity active
data-science data-visualization machine-learning etl charts scheduling agent-framework llm-inference developer-tools data-science data-visualization analytics machine-learning artificial-intelligence developer-tools cross-platform python cloud self-hosted notebook jupyter-alternative data-notebook sql-blocks collaborative-analytics data-apps vscode-extension yaml-notebook-format reactive-execution data-integrations sql data-engineering web desktop nodejs
10 sources
- readme: https://github.com/deepnote/deepnote · fetched 2026-08-28 · 5a35d5aeaa1e
- homepage: https://deepnote.com/?utm_source=github&utm_medium=github&utm_campaign=github&utm_content=readme_main · fetched 2026-08-29 · 111f3b3730c5
- site_page: https://deepnote.com/docs/etl-elt-pipelines · fetched 2026-08-29 · 1b9b473f1adb
- site_page: https://deepnote.com/docs/data-catalogs · fetched 2026-08-29 · 11720ec9bbed
- site_page: https://deepnote.com/docs/deepnote-ai · fetched 2026-08-29 · 144f537116fe
- site_page: https://deepnote.com/docs/data-apps · fetched 2026-08-29 · 8885bb32d498
- site_page: https://deepnote.com/docs/notebooks · fetched 2026-08-29 · 4afe451e395f
- site_page: https://deepnote.com/docs/scheduling · fetched 2026-08-29 · 6d2b69776c41
- site_page: https://deepnote.com/docs/semantic-layer · fetched 2026-08-29 · 6a0376670a69
- site_page: https://deepnote.com/docs/integrations · fetched 2026-08-29 · 6a778c58efc8
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| deepnote/deepnote | main | 79 |
For agents
markdown · JSON · MCP: product_card(name="deepnote/deepnote")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem