About Deepnote

Deepnote provides a data workspace where teams and agents query, analyze, and publish work as notebooks, dashboards, and apps, with the context, permissions, and traces an organization can trust. It supports real-time collaboration on notebooks that run SQL and Python, and integrates with a wide range of data sources and deployments.

Notebooks, dashboards, and data apps are central to Deepnote’s offering. Notebooks run SQL and Python in the same document, and teams edit them together in real time. Data apps and dashboards can be published from notebooks and controlled with inputs, scheduling, and access controls.

Deepnote emphasizes agents and reusable skills, integrations, permissions, and traces across notebooks, apps, and agents. It highlights over 100 native integrations and role-based permissions, with a trace of every run to support collaboration and governance.

It also notes an open-source path and a cloud-hosted option for teams.

Use cases

Collaborative data exploration and analysis
Building data apps and dashboards from notebooks
Agent-powered data workflows

Key features

Run Python and SQL in the same workspace
Publish notebooks as data apps or dashboards
Support for agents and reusable skills
100+ native integrations
Real-time collaboration and permissions
Schedule notebooks and deploy as APIs

Pros and cons

Pros

Extensive integrations with data sources

Supports both Python and SQL in one notebook

Pricing

Team

$39-20%

per editor/month billed yearly

Unlimited viewers & notebooks
GPT-5.6 Sol 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

Enterprise

Custom

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

Reviews

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Frequently asked questions

What is a Python notebook?

A Python notebook is an interactive document that combines executable code, written explanations and outputs such as tables or charts.

How do I run Python code online without installing Python?

Create a Deepnote account and project, choose a Python environment, and add a code block. Run your code to see the output in the notebook.

Can I use SQL in a Python notebook?

Yes. Deepnote supports SQL blocks alongside Python code. Query a connected source or use DataFrame SQL, then continue the analysis in Python.

What is a SQL notebook?

A SQL notebook is an interactive document that combines SQL queries, results and explanations.

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