Deepnote vs Observable
On the evidence we track, Deepnote leads this comparison with a composite score of 67/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for ml notebooks. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Deepnote
LeaderA cloud-based and locally-deployable workspace for teams to analyze data, create dashboards and data apps, and automate insights. Supports integration with data warehouses and databases, offers real-time collaboration, and includes AI-assisted analysis capabilities.
Observable
A collaborative platform and framework for building interactive data visualizations and applications, providing tools for data exploration and static site generation.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Deepnote
LeaderFrom $39/editor/month billed annually. Free tier available.
- FreeFree
- Up to 3 editors
- Up to 5 projects
- 7 day revision history
- AI code completion
- Deepnote Agent
- +10 more
- Team$39/editor/month billed annually
- Everything in Free plus:
- Unlimited viewers & notebooks
- Premium integrations
- Background execution
- Scheduled notebooks
- +6 more
- EnterpriseContact sales
- Everything in Team plus:
- Custom contract & invoice
- Priority support
- Dedicated success manager
- Unlimited AI
- +9 more
Observable
Free tier available. Pro workspaces start at $10/viewer/month. Enterprise plans available on request.
- Notebook FreeFree
- Notebook Pro$10 per viewer per month
- Private projects and notebooks
- Comment on notebooks
- Workspace viewers
- EnterpriseContact sales
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Slack
- BigQuery
Deepnote
Leader- Google Workspace
- Okta
- Anthropic
- OpenAI
- GitHub
- Azure
- Streamlit
- LangChain
- Codex
- PostgreSQL
- MySQL
- ClickHouse
- MariaDB
- MindsDB
- Snowflake
- Redshift
- Amazon Athena
- SQL Server / Azure SQL
- MongoDB
- Databricks
- Trino
- Dremio
- Google Drive
- GitLab
- +3 more
Observable
- Slack
- BigQuery
Deepnote or Observable: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.