Deepnote

What is Deepnote?

Deepnote is a collaborative data workspace for running Python and SQL notebooks, building dashboards, and deploying data applications. It supports teams and AI agents exploring data through over 100 integrations with warehouses, databases, and lakehouses. The platform runs in the cloud and offers local-to-cloud handoff via Visual Studio Code.

What are the features of Deepnote?

• Collaborative notebooks

  Execute Python and SQL in shared notebooks with commenting, code reviews, and history versioning.
• Data apps and dashboards

  Publish notebooks as interactive reports or hosted applications, hiding code blocks and adding input controls.
• Agent Workspace

  Build deterministic or non-deterministic data agents that execute multi-step workflows like querying, training, and deploying models.
• Scheduled pipelines

  Run notebooks automatically on hourly, daily, weekly, or monthly schedules, or deploy them as APIs.
• Scalable compute

  Choose hardware ranging from standard CPUs to GPUs, including serverless Spark and Snowpark clusters for terabyte-scale data.
• AI assistance (Deepnote AI)

  Generate insights, explain data drivers, and build follow-up analysis cells directly within the notebook interface.

What are the use cases of Deepnote?

• A/B test evaluation

  Query assignment and event tables with SQL, then use AI to identify churn drivers and segment users by behavior.
• Fraud detection automation

  Configure an agent to flag transactions, train a detector model, deploy it via API, and visualize cancellations by country.
• Local-to-cloud development

  Write analysis locally in Visual Studio Code using the deepnote package, then transfer kernel state, packages, and files to the cloud.

Deepnote Pricing Information:

• Free access

  Stated as free to get started; specific feature quotas or limits are not detailed in the source.
• Enterprise

  Custom deployment options available; requires booking a demo for details.