Overview
Deepnote's AI Copilot, with its efficient and contextual code suggestions, is paving the way for a future of AI-powered data exploration in notebooks.
Focus Area
Collaborative AI Data Science Notebook & SQL Workspace
Core Features & Capabilities
Automated Code & SQL Generation: Writes, fixes, and explains Python, R, and SQL code blocks directly inside notebooks. Collaborative Real-Time Analytics: Enables multi-user real-time co-editing of data science notebooks in cloud environments. Automated Charting & Explanations: Converts raw data tables into interactive visual charts and plain-English summaries. Best For
Automating code reviews and completions in-IDE Extracting structured data from unstructured sources Data ScientistsResearchersProduct Managers
Integrations
GitHubGitLabGoogle DriveMakeAWSAzureSnowflakeBigQuery
Architecture & Security
Cloud Computational Notebook: Collaborative cloud environment with native connectors for Snowflake, BigQuery, and S3. Pricing Details
Free Tier: $0 (Baseline compute servers, standard AI usage). Team Plan: Starts at ~$28 / user / month for high-speed GPU/CPU hardware and expanded AI execution.