Deepnote
A collaborative cloud workspace where teams analyze data, build dashboards, and automate insights through notebook-based workflows.
- Also known as
- deepnote
Available worldwide · Popular in: US
What is Deepnote?
Deepnote is a data science and analytics platform enabling teams to explore data, create interactive dashboards and apps, and automate analysis with built-in integrations and real-time collaboration.
Deepnote pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Free and Education plans available. Team plan per-seat pricing (monthly or annual). Enterprise custom pricing.
Free
Free- ai_requests
- limited per month
Team
Enterprise
Contact salesEducation
FreeFor students, teachers, and researchers
- Almost all features of Team plan
Add-ons
- AI Usage
What Deepnote does
The capabilities that matter for ml notebooks, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- GPU tpu access
- ✗
- Realtime collaboration
- ✓
- Reactive execution
- ✓
- Diffable versioning
- ✓
- Scheduled parameterized runs
- ✓
- Notebook to app dashboard
- ✓
- AI copilot assist
- ✓
- Data warehouse connectors
- ✓
- Local or self host
- ✓
- Free tier
- ✓
Platform & deployment
Independently observed- Web
- Cloud / SaaS
- Hybrid
- On-premise
- Self-hosted
Integrations (10)
Independently observed- Google Workspace
- Okta
- Anthropic
- OpenAI
- Slack
- GitHub
- Azure
- Streamlit
- LangChain
- Codex
Deepnote alternatives
Other ml notebooks we track, ranked by the same independent score.
- ObservableBrowser-based reactive notebooks for collaborative data visualization and analysislow · 26%
- Apache Zeppelinlow · 22%
- Amazon SageMaker Studio NotebooksUnified web-based environment for building and deploying machine learning modelslow · 42%
- Databricks NotebooksSub-millisecond feature serving for dynamic pricing and real-time financial decisionslow · 3%
Compare Deepnote
Side by side against other ml notebooks, attribute by attribute, with a source on every value.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Deepnote, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Pricing transparency | 80 | 0.08 | 6.7 | ✓ |
| Capabilities | 96 | 0.05 | 4.7 | ✓ |
| Price level | 80 | 0.05 | 4.2 | ✓ |
| Security posture | 50 | 0.07 | 3.7 | ✓ |
| Integrations | 58 | 0.04 | 2.3 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Free tier, Ai copilot assist, Local or self host, Reactive execution, Diffable versioning, Realtime collaboration, Data warehouse connectors, Notebook to app dashboard, Scheduled parameterized runs | mediumsource · 2026-08-25 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 100 | mediumsource · 2026-08-25 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-25 · 75% |