Fabi.ai

Agentic analytics notebook for SQL, Python, and R data teams.

A collaborative data workspace combining SQL, Python, and R notebooks with shareable data apps. Its Notebook Agent and Magic AI generate queries, debug code, run exploratory analysis, and build visualizations as editable notebook cells. Built for data teams that need reproducible, governed analysis rather than one-off chat answers.

AI-native collaborative notebook for data teams.

Collaborative data notebook positioned as a drop-in Jupyter replacement: real-time multiplayer editing, SQL + Python + R blocks, warehouse integrations (Snowflake, BigQuery, Redshift), and notebooks that deploy as data apps and dashboards. Deepnote AI generates, fixes, and explains code, and an agent can run analyses autonomously.

Chat with your data — an AI data analyst for CSVs, sheets, and DBs.

An AI data analyst that lets you upload CSVs, Excel, and Google Sheets, then ask questions in plain language to clean, analyze, visualize, and model your data. It writes and runs Python behind the scenes and can generate charts, slides, and reports from the results. Pro plans add direct connectors to live databases like Snowflake, BigQuery, and Postgres.

An AI spreadsheet where cells run Python, SQL, and JavaScript against live data connections.

Quadratic is a from-scratch spreadsheet built on Rust, WASM, and WebGL that pairs AI analysis with real code: cells can execute Python, SQL, and JavaScript, and connect to 25+ sources like Postgres, Snowflake, BigQuery, and QuickBooks. Ask questions in natural language and get working formulas, code, and charts back in the grid.