Quadratic is an AI-powered spreadsheet built for data work, combining spreadsheet familiarity with real code (Python, SQL, AI) running in the browser at full speed.
Quadratic reinvents the spreadsheet for analysts and engineers. Every cell can be a formula, a Python or SQL snippet, or an AI prompt, and the grid runs in the browser with the performance of a desktop application thanks to its Rust core and WebAssembly runtime. Data from CSVs, databases and warehouses connects natively, and AI can generate charts, write formulas and run analyses in natural language.
Because code lives in the grid as first-class cells, work is reproducible and shareable — a real advantage over chat-based analysis tools where the steps disappear. Teams collaborate in real time, and results export cleanly to dashboards and reports.
Quadratic’s architecture deserves attention: a Rust core compiled to WebAssembly gives the browser grid near-native calculation speed, and code cells execute in an isolated environment that can include popular data libraries. Connections to Postgres, MySQL, Snowflake and other sources let analysts query live data instead of exporting CSVs, and the AI copilot can turn a question into both a query and a chart. Because documents are shareable with full cell history, reviews and handoffs keep every step of an analysis visible.
Quadratic offers a free plan for individual use; paid plans add team workspaces, larger data connections, private deployments and enterprise security features.
Analysts and data teams who live in spreadsheets but need the power of code, and engineers who want a shareable, notebook-like grid.
Yes, individuals can use Quadratic free; team and enterprise features are part of paid plans.
Quadratic connects to data sources via standard database protocols and supports embedding; a full public API is evolving.
It merges the spreadsheet’s grid UX with notebook-grade code execution, faster and more shareable than Excel plus ChatGPT.
Yes — Quadratic connects to databases such as Postgres and MySQL as well as data warehouses, so SQL cells can query live data directly.
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