Quadratic
AI-native spreadsheet where cells run Python, SQL, and JavaScript alongside formulas - enabling data analysts to code and calculate in one grid.
Quadratic is a Y Combinator-backed, open-source spreadsheet that merges the familiarity of a grid interface with the power of a coding environment. Each cell or range can contain Python, SQL, or JavaScript that executes on a live data connection, returning results directly into the spreadsheet grid. AI features let users generate data transformations, chart code, and SQL queries from natural language prompts within the sheet. Quadratic runs computation locally in the browser using WebAssembly for Python execution, eliminating server round trips for most operations. The platform is available as a free web app for individuals and as a paid team plan at approximately $20/seat/month for collaboration features and data connectors to Postgres, Snowflake, and MySQL.
Key Features
- Python, SQL, and JavaScript execution directly in spreadsheet cells with live output
- AI-assisted code generation - describe a transformation in English, get working Python or SQL
- WebAssembly Python runtime runs in the browser without a server - instant execution
- Native connectors to Postgres, MySQL, Snowflake, and CSV/JSON files
- Multiplayer collaboration with real-time cursor presence and shared data sheets
- Open-source core with full self-hosting option for data-sensitive organizations
Use Cases
- Data analysts who want to run Python pandas operations without leaving a spreadsheet interface
- SQL users querying live databases and visualizing results in a familiar grid format
- Engineers sharing data analysis with non-technical stakeholders in a spreadsheet they can read
- Teams replacing BI tools for ad-hoc analysis by combining code and formulas in one document
Pros
- Bridges the gap between spreadsheets and notebooks - analysts keep their mental model while gaining code power
- WebAssembly Python runtime executes locally without server latency or data leaving the browser
- Free for individuals with no usage limits - full Python and SQL access without a credit card
Cons
- Browser-based Python runtime has limitations - heavy ML workloads and large datasets need external compute
- Collaboration and database connector features require the paid team plan
- Smaller ecosystem of templates and integrations compared to established tools like Excel or Notion
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