Deepnote is a cloud notebook platform for Python and SQL with real-time collaboration and AI features. Compare its pricing plans, features, and best users.
Deepnote is a cloud-based notebook platform built for data science and analytics teams, founded in 2019 and headquartered in San Francisco. It positions itself as a modern alternative to traditional Jupyter notebooks, adding real-time multi-user collaboration, built-in data connections, and a more polished interface aimed at teams rather than solo analysts.
The company has raised roughly $23.8 million in funding from investors including Index Ventures, Accel, and Y Combinator, and reports serving more than 500,000 data professionals across industries such as fintech, biotechnology, gaming, and education. Deepnote has also opened parts of its platform, describing itself as now open-source in some capacity while continuing to sell hosted commercial plans.
At its core, Deepnote combines interactive notebooks supporting both Python and SQL with real-time collaboration, letting multiple team members edit and comment on the same notebook simultaneously. It connects to more than 100 data sources including warehouses, databases, and lakehouses, and supports building data apps and dashboards for sharing results with non-technical stakeholders.
The platform also includes ETL and ELT pipeline creation, machine learning model training and deployment, GPU access for compute-heavy workloads, and an AI assistant that helps generate and review code. Version control and code review features are built in, aiming to bring familiar software engineering practices into the notebook environment.
Deepnote's Free plan supports up to 3 editors and 5 projects, with limited AI features, basic compute machines (5 GB RAM, 2 vCPU), and 7 days of revision history, making it usable for small personal or evaluation projects at no cost.
The Team plan costs $39 per editor per month, discounted 20% when billed yearly, and includes a 14-day free trial. It adds unlimited viewers and notebooks, access to premium AI models, background and scheduled notebook execution, monthly AI and compute credits, and 30 days of revision history. Enterprise pricing is custom and adds SSO, audit logs, bring-your-own-LLM support, and single-tenancy deployment options.
Yes, the Free plan supports up to 3 editors and 5 projects with limited AI features and basic compute resources.
The Team plan is $39 per editor per month, with a 20% discount for annual billing and a 14-day free trial.
Yes, notebooks support both Python and SQL, along with more than 100 built-in data source integrations.
Self-hosting and single-tenancy options are available on the Enterprise plan.
Data science, analytics, and machine learning teams that want real-time collaboration on notebooks, rather than solo individual use only.