[go: up one dir, main page]

Skip to content

Quadratic | Data Science Spreadsheet with Python & SQL

License

Notifications You must be signed in to change notification settings

AyushAgrawal-A2/quadratic

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

E2E Tests Python Tests Unit Tests Twitter Follow

quadratic icon small The technical multiplayer spreadsheet, with Python, SQL, and AI

Modern multiplayer spreadsheet with Python, AI, and SQL built-in.

Built with Rust + WASM + WebGL to run seamlessly at 60+ FPS in the browser.

Analyze data the developer way and share results the spreadsheet way.

Quadratic in a standalone macOS window; users are working together on a spreadsheet to measure the life expectancy in Canada.

Production build

The main branch is live for individuals and teams to use.

Try it out! ⟶ https://app.quadratichq.com

Documentation

Read the documentation ⟶ https://docs.quadratichq.com

What is Quadratic?

Quadratic is a web-based spreadsheet application for technical users.

Our goal is to build a spreadsheet that enables you to pull your data from its source (SaaS, database, CSV, API, etc) and then work with that data using any popular programming language (Python, SQL, JS, Formulas, etc).

What can I do with Quadratic?

  • Build dashboards
  • Create internal tools in minutes
  • Quickly mix data from different sources
  • Explore your data for new insights
  • Visualize your Python workflows as a spreadsheet
  • Mix technical and non-technical team members in your analysis

Development progress and roadmap

Quadratic is in Beta.

  • WebGL grid (pinch and zoom grid)
  • Python, Pandas support (WASM)
  • Excel import and Formula Support
  • Multiplayer support
  • Charts and graphs
  • Teams support
  • JavaScript support
  • SQL database support
  • Data warehouse support (Snowflake, DataBricks, etc)
  • Self-host on your infrastructure

Feature request or bug report? Submit a Github Issue.

Want to contribute? Read our Contributing Guide.

Want to learn more about how Quadratic works? Read the How Quadratic Works doc.

Examples

Example sheets - Examples

Quadratic is hiring

Check out our open roles ⟶ careers.quadratichq.com

About

Quadratic | Data Science Spreadsheet with Python & SQL

Resources

License

Code of conduct

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • TypeScript 52.1%
  • Rust 44.0%
  • JavaScript 1.9%
  • Python 1.2%
  • HTML 0.3%
  • Shell 0.3%
  • Other 0.2%