Deepnote vs Hex
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
AI tool · Freemium
A collaborative data notebook for Python and SQL with AI code generation and shareable apps.
AI tool · Freemium
A collaborative data workspace combining SQL, Python notebooks and apps, with an AI analyst.
The short answer
Choose Deepnote if you need…
- Team notebooks
- Jupyter users wanting collaboration
Choose Hex if you need…
- Data teams sharing analyses
- Turning notebooks into apps
Side-by-side
| Deepnote | Hex | |
|---|---|---|
| Type | Data & analytics · Data notebooks | Data & analytics · Data notebooks |
| Price | Freemium | Freemium |
| Platforms | Web | Web |
| Works with | Snowflake, BigQuery, GitHub | Snowflake, BigQuery, dbt |
| Hands-on tested by us | Not yet | Not yet |
| Last checked | 2026-10-29 | 2026-10-29 |
What each one is
Deepnote
A collaborative data notebook for Python and SQL with AI code generation and shareable apps. Friendly upgrade from Jupyter. Heavy compute needs paid machines.
Hex
A collaborative data workspace combining SQL, Python notebooks and apps, with an AI analyst. Excellent collaboration for analysts. Pricing targets teams rather than individuals.
Best for
Deepnote
- Team notebooks
- Jupyter users wanting collaboration
Hex
- Data teams sharing analyses
- Turning notebooks into apps
Strengths
Deepnote
- Real-time collaborative notebooks
- AI assistant
- SQL blocks
- Scheduling and apps
Hex
- SQL and Python notebooks
- AI agent for analysis
- Interactive apps
- Warehouse connections
Frequently asked questions
What is the difference between Deepnote and Hex?
Deepnote: A collaborative data notebook for Python and SQL with AI code generation and shareable apps. Hex: A collaborative data workspace combining SQL, Python notebooks and apps, with an AI analyst. Deepnote suits team notebooks, while Hex suits data teams sharing analyses.
Are Deepnote and Hex free?
Deepnote: Freemium. Hex: Freemium.
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.