Quadratic
The spreadsheet where Python, SQL and JS run natively in every cell.
Overview
Quadratic is a browser-based, infinite-canvas spreadsheet, built on Rust/WASM, that runs Python, SQL, and JavaScript in cells alongside formulas and connects live to Postgres, Snowflake, and BigQuery. Source-available on GitHub, not open source.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 20 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- Limited AI usage
- Limited sharing & files
- $20 AI credits/mo
- Unlimited sharing & files
- Additional privacy controls
- 2x AI credits
- On-demand AI usage
- Everything in Pro
- SSO
- Self-hosting option
- Dedicated support
Use cases
What you can produce with Quadratic
- Live-connected spreadsheet that queries Postgres, MySQL, Snowflake or BigQuery and writes results directly into cells
- Automated analysis pipeline: plain-English prompt → AI-written Python/SQL → executed result → chart, refreshed on schedule
- Multiplayer data workspace where technical and non-technical teammates co-edit formulas, code cells and dashboards simultaneously
- MCP-connected agent session: Claude or ChatGPT reading, writing and verifying a live Quadratic sheet via OAuth with no local setup
- PDF or CSV ingest → AI-extracted structured table → Plotly visualisation, all within a single shareable Quadratic file
- SOC 2 and HIPAA-compliant spreadsheet environment suitable for handling sensitive financial or health data in regulated industries
ASEAN Perspective
Quadratic in Southeast Asia
Quadratic's cloud-first, browser-native architecture means it is accessible anywhere without local installs — a practical advantage for ASEAN teams with mixed hardware. However, there are no ASEAN-specific data connectors (GrabPay, PayNow, local ERP systems) out of the box, and pricing is in USD, which adds friction in markets like Indonesia, Vietnam or the Philippines where purchasing-power parity makes $18/month meaningful. Singapore-based data and finance teams would find the Snowflake, BigQuery and REST API integrations immediately useful, but smaller APAC organisations may find the free tier's limitations restrictive before committing to a paid seat.
Quadratic's pitch — Python, SQL, and JS running natively in spreadsheet cells, no environment setup — is genuinely different, and the August 2025 agentic update lets the AI write, run, and debug that code itself from a plain-English prompt. The MCP server lets Claude or ChatGPT drive a live sheet over OAuth with zero local setup, which is a real differentiator for data teams already living in Python.
Pricing is public and reasonable: free Personal tier, Pro at $18/user/month, Business at $36/user/month, Enterprise custom (with self-hosting and SSO). The code is source-available on GitHub, not fully open source, so contributions are limited. GV backed the $11.3M seed; ASEAN-specific connectors and non-USD billing are still absent.
What people say
$18 a month gets a Pro seat with native Python, SQL, and JavaScript running inside spreadsheet cells — no notebook, no separate environment, just formulas and code side by side on an infinite canvas built on Rust and WebAssembly. That alone would be a decent pitch; the August 2025 agentic update, where the AI writes, runs, and debugs the code itself from a plain-English prompt, makes it usable by people who don't already know Python or SQL.
The MCP server is the standout feature for anyone already living in Claude or ChatGPT: it lets those tools read, write, and verify a live Quadratic sheet over OAuth with no local setup. Live connections to Postgres, MySQL, Snowflake, and BigQuery, plus Plotly charts rendered in-grid, round out a genuinely differentiated product for data teams.
Pricing beyond Pro: a limited free Personal tier, Business at $36/user/month for teams that burn through AI credits faster, and custom Enterprise pricing with SSO and self-hosting. One nuance worth knowing — the code is source-available on GitHub (quadratichq/quadratic), not open source under a permissive license, so it's inspectable but not freely forkable for commercial use. GV led the $11.3M seed; ASEAN-specific connectors and non-USD billing are still missing, and reported user count sits at 250,000+.
Summary of public user & expert reviews, compiled by RECATOOLS.
Notable facts
- Quadratic is built on Rust running in WebAssembly inside the browser — the same language stack used in game engines — which is why it can handle hundreds of thousands of rows without a backend service.
- The Pandas library creator Wes McKinney is a personal angel investor in Quadratic, alongside the CEOs of Replit and Cockroach Labs.
- Quadratic's grid runs entirely client-side, making every spreadsheet a portable, self-contained file that works offline once loaded.
- The company grew from roughly 45,000 users at its April 2024 seed raise to 250,000+ by 2026 — roughly a 5x jump in under two years.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including Quadratic's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Quadratic unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to Quadratic directly →
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