Free
0
- Up to 3 editors
- Up to 5 projects
- Limited Deepnote AI
- Unlimited Basic machines with 5 GB RAM, 2 vCPU
- 7 day revision history
Overview
Deepnote is an open data workspace designed for collaborative analytics and data science. It provides a unified environment where teams can explore data using Python and SQL, automate insights, and build powerful data applications. The platform supports a wide range of data work, from quick explorations to complex data apps, pipelines, and models.
Key Capabilities
- Collaborative Notebooks: Deepnote offers interactive, collaborative notebooks for data exploration, knowledge storage, and real-time teamwork.
- Data Agents: Users can build and run autonomous data agents to automate tasks like fraud detection or revenue analysis.
- Data Apps & Dashboards: Transform data explorations into interactive applications and dashboards with custom layouts and input blocks.
- Data Engineering: Facilitates ETL/ELT pipelines, data transformation, data cataloging, and high-performance computing with Spark and Snowpark.
- Machine Learning: Supports model training, serving, and monitoring, with access to powerful hardware including GPUs.
Deepnote integrates with over 100 data sources, warehouses, databases, and lakehouses, allowing teams to connect to their existing data stack seamlessly. It emphasizes security and compliance, offering features like SOC2, HIPAA, GDPR compliance, RBAC, SSO, and custom deployment options. The platform is used by a community of over 500,000 data professionals and is now open-source.
Key features
- Collaborative data science notebooks
- Build and run autonomous data agents
- Create and host interactive data apps and dashboards
- Integrates with 100+ data sources
- Supports Python, SQL, Spark, and Snowpark
- Model training, serving, and monitoring
- Advanced security and compliance (SOC2, HIPAA, GDPR)
- Open-source platform
Who uses it
Deepnote is used by data professionals, including data analysts, data scientists, MLOps platform engineers, developers, product managers, and senior ML engineers across various industries like Fintech, Biotechnology, Gaming, and Enterprise. It is also utilized in educational institutions.
Pros
- Enables real-time collaboration on data projects.
- Supports Python and SQL for comprehensive data analysis and agent building.
- Integrates with a wide array of existing data tools and sources.
- Provides robust security and compliance features.
- Now available as an open-source solution.
Cons
- May have a learning curve for users unfamiliar with data science notebooks or agent-based workflows.
- Specific pricing for advanced features or enterprise plans is not transparently listed on the main page.
- Requires an understanding of coding (Python/SQL) for full utilization, potentially limiting non-technical users.
Our take
Deepnote is a collaborative, open-source data workspace that empowers data professionals to explore, analyze, and operationalize data insights through interactive notebooks, data apps, and autonomous agents. It aims to streamline data workflows and enhance team productivity with robust integrations and security features.
Pricing plans
Team
$39-20% per editor/month billed yearly
- Everything in Free plus…
- Unlimited viewers & notebooks
- GPT-5.5 and Sonnet 4.6 access
- Premium integrations
- Background execution
- Scheduled notebooks
- 30 day revision history
- $39 worth of AI credits every month
- $280 worth of CPU every month
- $50 worth of GPU every month
- More powerful machines
- Discounted additional compute
Enterprise
Talk to us
- Custom contract & invoice
- Priority support
- Dedicated success manager
- Unlimited AI
- Permission groups
- SSO & directory sync
- Private docker images
- Bring your own LLM
- Audit logs
- Federated Authentication
- Single-tenancy
- Volume machine discounts
Pricing details are provided for reference and may differ from the vendor's current plans.
Website Analytics
Traffic and engagement estimates for Deepnote. Updated Aug 5, 2026.
Monthly visits
203K
Estimated monthly website traffic
Growth
+10.1K
Month-over-month change
Growth rate
+5.3%
Relative monthly change
Bounce rate
36.3%
Estimated bounce rate
Visit history
Engagement
- Avg visit duration
- 3m 51s
- Pages per visit
- 4.9
Traffic sources
- Direct50.5%
- Search Organic27.8%
- Referrals9.4%
- Social Organic5.2%
- Gen Ai3.6%
- Mail1.7%
- Search Paid0.9%
- Social Paid0.5%
- Display Ads0.4%
Top countries
- Brazil15.7%
- Russian Federation8.3%
- United States of America6.8%
- Denmark5.8%
- Mexico4.3%
Figures are third-party estimates and may differ from actual site analytics.
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