Reviews onG2
378 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
AI assistance significantly speeds up data analysis and coding tasks.
Biggest con
Limited Deepnote AI features and compute resources in the free tier.
TL;DR - Deepnote
- AI-powered collaborative data science notebook supporting Python, SQL, and R.
- Transforms data explorations into interactive data apps and dashboards.
- Offers robust collaboration features, powerful compute options, and enterprise-grade security.
Pricing: Free plan available
Best for: Growing teams
4.5/5 across review platforms
What is Deepnote?
Deepnote is an AI-powered, collaborative data science notebook environment designed for data analysts and data scientists. It allows users to write, execute, and share code in Python, SQL, and R, and integrates with over 60 data sources including Snowflake and BigQuery. The platform offers an AI assistant that can generate, refactor, explain, and debug code, making data analysis more accessible and efficient for users of all skill levels.
Beyond traditional notebooks, Deepnote supports the creation of interactive data apps and dashboards, enabling users to turn quick explorations into impressive reports. It facilitates team collaboration with real-time editing, commenting, versioning, and easy sharing. Deepnote also provides powerful machine options, including GPUs, and robust security features like SOC 2 Type II compliance, HIPAA compliance, SSO, and custom deployments, ensuring data integrity and access control for organizations.
Available on: Web
Pros & Cons
Pros
- AI assistance significantly speeds up data analysis and coding tasks.
- Seamless collaboration features make teamwork efficient.
- Supports a wide range of data sources and languages.
- Ability to create interactive data apps and dashboards from notebooks.
- Strong security and compliance features suitable for enterprises.
Cons
- Limited Deepnote AI features and compute resources in the free tier.
- Advanced security and deployment options are only available in higher-tier plans.
- Reliance on cloud infrastructure may not suit all data governance requirements without custom deployments.
Ratings Across the Web
4.5(378 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
AI-powered code generation, explanation, refactoring, and debuggingSupport for Python, SQL, and R in a single IDEInteractive visualizations and no-code configurable chartsCreation and deployment of data apps and dashboardsScheduled notebooks and API deployment for modelsReal-time collaboration, commenting, and version historyIntegration with 60+ data sources (Snowflake, BigQuery, dbt, etc.)Access to powerful GPUs and custom machine configurations
Pricing Plans
Free TrialPricing checked Jun 22, 2026
Free
Free
- Up to 3 editors
- Up to 5 projects
- Limited Deepnote AI
- Unlimited Basic machines with 5 GB RAM, 2 vCPU
- 7 day revision history
Team
$39 / editor/month billed yearly
- Unlimited viewers & notebooks
- Unlimited Deepnote AI
- GPT-5 and Sonnet 4.5 access
- Premium integrations
- Background execution
- Scheduled notebooks
- 30 day revision history
- $280 worth of CPU every month
Enterprise
Custom
- Custom contract & invoice
- Priority support
- Dedicated success manager
- Permission groups
- SSO & directory sync
- Private docker images
- Bring your own LLM
- Audit logs
How Deepnote's pricing compares
At $39/mo, Deepnote is mid-range of its 2 direct competitors ($15 to $50/mo across the set).
Entry paid plan, monthly. Pricing checked Jun 22, 2026.
Reviews
$99Free with your review
Write a reviewReview Deepnote, get a free AI guide
Share your experience and we will send you Improve Your Thinking Patterns Using ChatGPT, free.
4.5/5
Across 378 verified user reviews on G2
Add your hands-on experience using the offer above to help the next buyer.
Best Deepnote Alternatives
Top alternatives based on features, pricing, and user needs.
Still deciding?
Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.
Explore More
Deepnote FAQ
How does Deepnote facilitate team collaboration on data projects?
Deepnote supports real-time editing, commenting, and versioning within its collaborative data science notebook environment. This allows multiple team members to work together efficiently on the same project. Users can also easily share their notebooks and interactive data apps.
Which teams would benefit most from using Deepnote?
Deepnote is designed for data analysts and data scientists who require an AI-powered, collaborative environment for their work. It is particularly well-suited for teams that need to write, execute, and share code in Python, SQL, and R, and create interactive data apps.
How does Deepnote compare to Databricks for data analysis?
Deepnote focuses on providing an AI-powered, collaborative notebook environment for data analysts and data scientists, with features like an AI assistant for code generation and debugging. Databricks also offers data analysis capabilities, but Deepnote emphasizes its real-time collaboration and interactive data app creation directly from notebooks.
What kind of data sources can Deepnote integrate with?
Deepnote integrates with over 60 data sources, including popular options like Snowflake and BigQuery. This broad integration capability allows users to connect to various data repositories for their analysis within the notebook environment.
What are the primary limitations of Deepnote's free tier?
The free tier of Deepnote comes with limited AI features and compute resources. Users seeking more advanced AI capabilities, greater computational power, or enhanced security features will need to explore the paid plans.
How is Deepnote priced?
Deepnote is available on a free tier, which offers basic functionality. For users requiring more extensive usage, advanced features, and greater compute resources, paid plans are available.
Can Deepnote help in creating interactive reports from data explorations?
Yes, Deepnote supports the creation of interactive data apps and dashboards directly from notebooks. This allows users to transform their quick data explorations into presentable and interactive reports for broader consumption.
Source: deepnote.com