Deepnote
A shared browser workspace for Python and SQL notebooks, dashboards, data apps, and team review.
About Deepnote
Deepnote is a browser-based data workspace for teams that use Python and SQL. It combines collaborative notebooks with data connections, shared environments, charts, dashboards, and data apps, so analysis and presentation can stay in one project. Multiple people can work in a notebook together, while viewers can follow results without occupying a paid Editor or Admin seat. The Free plan covers basic individual work and shared environments; Team adds higher-performance and pay-as-you-go machines, longer inactivity windows, Docker image building, and static IPs. Enterprise extends the product with controls such as private Docker images, audit logs, SSO, directory sync, custom machines, and private deployment options. Deepnote fits data teams that value real-time review and browser access, as well as educators who want students to avoid local setup. The tradeoffs are mainly operational: paid billing scales with Editor and Admin seats, stronger governance is reserved for Enterprise, and Free workspaces stop inactive compute after 15 minutes.
Best for
Best use cases
A team investigates a metric in SQL, analyzes it in Python, and reviews the notebook together.
An analyst publishes notebook results as an interactive dashboard for business stakeholders.
An instructor shares a browser-based classroom notebook so students can begin work immediately.
Compare before choosing
Compared with local notebooks, Deepnote reduces setup work and adds simultaneous browser-based editing.
The Free plan supports basic work, while advanced compute and static IPs require a Team workspace.
Enterprise is the relevant tier when audit logs, SSO, private images, or private deployment are required.
Features
Collaborative data analysis
Explore data with Python and SQL while teammates edit, comment, and review work in the same cloud notebook.
Interactive reporting
Turn notebook results into interactive charts, dashboards, and data apps that can be shared with decision makers.
Teaching data science
Run browser-based classes without local Python setup, with shared notebooks for instruction and group work.
Pros
- Real-time shared notebooks reduce handoffs during Python and SQL analysis and review.
- Browser-based setup lets teams and classrooms begin work without maintaining local environments.
- Viewer roles are not billed on paid plans, which can lower the cost of broad result sharing.
Cons
- Paid workspace cost grows with every Editor and Admin seat, so larger authoring teams cost more.
- The Free plan has a 15-minute inactivity period and does not include higher-performance machines.
- SSO, audit logs, private Docker images, and private deployment options require Enterprise.
Pricing Plans
Free
- Shared environments
- Public Docker images
- Basic free compute
- 15-minute inactivity period
Team
- Build Docker images
- Pay-as-you-go machines
- Static IPs
- 24-hour inactivity period
Enterprise
- Private Docker images
- SSO and directory sync
- Audit log
- Custom machines and deployment options
* Pricing information is for reference only. Please refer to the latest announcement on Deepnote's official website.