Deepnote is a cloud-based data workspace designed for collaborative analytics, data science, and machine learning. It combines notebooks, data apps, and dashboards in a single platform that supports no-code, Python, SQL, and R. The platform offers AI-powered features that can query, analyze, and interpret data based on natural language descriptions, and it provides an AI-enabled IDE with code generation, completion, refactoring, explanation, and debugging capabilities.
Key Features
- Notebooks with Python, SQL, and R: Write and execute code in multiple languages within a single environment.
- AI Copilot: Automate analysis, generate code, and get intelligent code suggestions.
- Data Apps & Dashboards: Build interactive reports and applications with custom layouts, input blocks, and buttons.
- Scheduling: Run notebooks on a schedule (hourly, daily, weekly, monthly).
- API Deployment: Deploy notebooks as APIs to serve models in production.
- GPUs: Access powerful hardware including GPUs for model training.
- Collaboration: Cloud-based collaboration with commenting, code review, versioning, and easy sharing via links or email invites.
- Integrations: Connect to 100+ data sources including Snowflake, BigQuery, and dbt, plus support for Spark and Snowpark.
- Security & Compliance: HIPAA, SOC 2, GDPR, CCPA compliant with RBAC, SSO, directory sync, and custom deployment options.
Use Cases
- Data analytics and exploration
- Building data apps and dashboards
- ETL/ELT pipelines
- Machine learning model training, serving, and monitoring
- Collaborative data science and analysis
Who It's For
Data analysts, data scientists, MLOps engineers, and data teams across industries including fintech, biotechnology, gaming, enterprise, startups, and research.