Deepnote

What is Deepnote?

Deepnote is a collaborative data science notebook built for analytics teams and data professionals, created by Deepnote Inc. It combines Jupyter-like notebook functionality with AI-assisted code generation, real-time collaboration, and direct integrations to data warehouses like Snowflake, BigQuery, and Redshift. The platform supports Python, SQL, and R, and runs code in cloud-hosted kernels with configurable compute resources including GPU access.

The core workflow mirrors traditional notebooks but adds AI capabilities: users can describe analysis goals in natural language, and Deepnote generates SQL queries, Python code, and visualizations automatically. It includes code completion, refactoring suggestions, and debugging assistance. The platform enables publishing notebooks as interactive dashboards and data apps without additional tooling, and supports scheduling notebooks to run on a cadence. Version control, code review, and audit logging provide governance for enterprise use. Deepnote also recently launched autonomous data agents—AI systems that can execute multi-step analyses, call reusable skills (modular code blocks), and return results as runnable notebooks. Integration with VS Code allows developers to write locally and sync to the cloud workspace. The platform serves 500,000+ data professionals across fintech, biotech, startups, and enterprises, with use cases spanning churn analysis, fraud detection, A/B test evaluation, and data app deployment.

Deepnote operates on a freemium model with free tier access for individuals and startups, plus paid plans for teams and enterprises. SOC2 and HIPAA compliance certifications support regulated industries. The codebase is now open-source, allowing self-hosted deployments. It competes directly with Jupyter, Google Colab, Databricks, and AWS SageMaker as a notebook-first analytics platform, though its focus on AI-assisted analysis and agent automation differentiates it in the emerging autonomous data sta