Deepnote

Deepnote is a collaborative data workspace built around notebooks. Analysts and data scientists write Python and SQL in the same document, query connected warehouses and databases directly, visualize results, and then publish the work as an interactive data app or dashboard for colleagues who never open the code. Notebooks run in the cloud on managed machines, so there is nothing to install and every project is shareable by link. It is built for data teams in startups and enterprises, and it is widely adopted in universities. More than 100 integrations connect to data warehouses, databases, BI tools and metadata catalogs. Deepnote AI writes and fixes code inside the notebook and can run as an autonomous data agent that carries a question through to an answer. Notebooks can be scheduled, run in the background, deployed as APIs or chained into ETL and ELT pipelines. Collaboration features cover real time editing, comments, version history, code review and permissions, and heavier workloads can use Spark, Snowpark and GPUs. The platform is SOC 2, HIPAA, GDPR and CCPA compliant with RBAC and SSO. Deepnote publishes three plans. Free costs nothing and includes up to 3 editors, up to 5 projects, limited Deepnote AI, unlimited basic machines with 5 GB of RAM and 2 vCPUs, and 7 day revision history. Team is $39 per editor per month, with 20 percent off on yearly billing, and adds unlimited viewers and notebooks, access to premium models from OpenAI and Anthropic, premium integrations, background execution, scheduled notebooks, 30 day revision history, and monthly allowances of $39 in AI credits, $280 in CPU and $50 in GPU compute. Enterprise is custom and adds unlimited AI, permission groups, SSO and directory sync, private Docker images, bring your own LLM, audit logs, federated authentication, single tenancy and volume machine discounts.