Launched in 2022
Pricing
Free trial
Free version

Quadratic is a web-based spreadsheet application designed for data analysts, scientists, and engineers who want the flexibility of code alongside the accessibility of a spreadsheet. Users can write Python or SQL directly inside cells, enabling complex data transformations, statistical analysis, and visualizations without leaving the spreadsheet environment. AI assistance is built in to help generate formulas, code, and charts from natural language prompts. The platform supports real-time collaboration, allowing multiple team members to work on the same sheet simultaneously. Data can be imported from databases, APIs, and files such as CSV and Excel. Results from code cells render inline as tables or charts, making it straightforward to build interactive data reports. Quadratic is cloud-hosted and accessible via a browser, with no local installation required. It targets teams that need to move beyond the limitations of traditional spreadsheets while avoiding the overhead of dedicated BI tools.

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Target audience and deployment

  • Solo / Freelancer
  • Startup
  • SMB
  • Mid-market
  • Cloud
  • Self-hosted

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Pricing

Pricing details:
Free trial
Free version
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Key features

Python in spreadsheet cellsSQL in spreadsheet cellsAI formula and code generationInline chart and visualization renderingReal-time collaborationCSV and Excel file importAPI data connectionsDatabase connectivityInfinite canvas spreadsheet gridNatural language to code

Use cases

  • Analyze data with Python inside a spreadsheet
  • Query databases using SQL in a familiar grid interface
  • Build data visualizations and charts from code
  • Collaborate on data analysis in real time
  • Generate formulas and code with AI assistance
  • Import and explore data from files and APIs

Best for

  • Data analysts who need to combine spreadsheet workflows with Python or SQL
  • Data scientists who need a collaborative environment for exploratory analysis
  • Startup teams who need lightweight BI without dedicated infrastructure
  • Engineers who need to query databases and share results in a shareable format

Integrations

Developer

GitHub

Databases

PostgreSQL, MySQL, Snowflake

Other

CSV, Excel