Quadratic

AI spreadsheet with Python and SQL

SF8.5
Combine spreadsheets with Python workflowsAI spreadsheetPython cells
Combine spreadsheets with Python workflowsAI spreadsheet

Best for

Analysts mixing spreadsheets with code

Pricing

From $18/mo

Free plan

Available

SoftFinders Score

8.5 / 10

Overview

What is Quadratic?

Quadratic is an AI-enabled spreadsheet that combines familiar cells and formulas with Python, SQL, JavaScript, database connections, and collaborative analysis, giving technical and nontechnical users one workspace for exploring, modeling, and presenting data.


  1. Analysis workflow: users can mix spreadsheet formulas with Python or JavaScript code, return code outputs directly to cells, create charts with libraries such as Plotly and Chart.js, and query live database connections with SQL without leaving the spreadsheet.
  2. AI assistance: Quadratic AI can build analyses from natural-language instructions, generate or repair Python, JavaScript, formulas, and SQL, create charts, and use spreadsheet or database-schema context when producing results. Generated code remains visible and editable so users can inspect how an analysis was performed.
  3. Implementation checks: teams should assess database connections and credentials, sharing permissions, collaboration requirements, AI usage and model controls, and whether Quadratic Cloud or self-hosting better fits their security needs. Quadratic is source-available rather than fully open source, and business use of the self-hosted software requires an appropriate commercial license.
  4. Commercial considerations: Personal is free; Pro costs $18 per user per month billed annually, and Business costs $36 per user per month billed annually. Enterprise uses custom pricing and includes SSO, custom AI usage, and dedicated support. Self-hosting is not exclusive to Enterprise: individuals can self-host free, while Business and Enterprise self-hosting is licensed per user.


Quadratic is particularly relevant to teams that want spreadsheet accessibility without separating advanced coding, live database analysis, and AI-assisted exploration into different tools.

KEY FEATURES

What you get out of the box

AI Cells

Generates formulas, code, and explanations quickly

Python Support

Runs Python directly inside spreadsheet cells

SQL Queries

Connects databases and queries live data

Collaborative Grid

Supports shared analysis in real time

Large Data

Handles bigger datasets than classic spreadsheets

Model Access

Offers multiple AI models by plan

USE CASES

Where teams put it to work

Combine spreadsheets with Python workflows
Query databases from spreadsheet cells
Clean messy operational datasets quickly
Prototype models before formal BI rollout
Collaborate on technical spreadsheet analysis
Explore large datasets beyond Excel

Editorial Take

What we like, and what to verify

What we like
  • Combines spreadsheet familiarity with real programming power
  • AI assistant speeds formulas and code generation
  • Database connections support more serious analytical workflows
What to verify
  • Traditional spreadsheet users may need adjustment time
  • Governance features are still maturing for enterprises
  • Advanced value depends on Python or SQL comfort

FAQ

Quick answers

DECISION TIME

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