Quadratic
Officially listedAI-powered spreadsheet with native Python, SQL, and JavaScript coding.
Quadratic
Quadratic is a next-generation intelligent spreadsheet lead-invested by GV (Google Ventures) that deeply fuses Python/SQL/JavaScript programming with the traditional grid. Unlike black-box AI tools, every AI-generated analysis appears as visible, auditable code, letting data teams keep the spreadsheet's intuitiveness while gaining the power of professional programming.
Core Capabilities
- AI natural language analysis: Ask questions in natural language to generate code, clean data, and create visualizations, powered by Claude 3.5 Sonnet and GPT-4o
- Native programming support: Write Python, SQL, or JavaScript directly in cells, with mainstream libraries like Pandas, NumPy, and Plotly
- Live database connections: Native support for PostgreSQL, MySQL, Snowflake, and BigQuery, with data sources refreshing in real time
- Infinite canvas design: A Figma-like infinitely zoomable canvas rendering large datasets smoothly at 60fps
- Real-time multiplayer collaboration: Google Docs-style synchronized editing with visible teammates' cursors and code changes, plus revertible version history
- MCP ecosystem integration: As an official MCP server, it lets AI tools like Claude, Cursor, and ChatGPT read and write spreadsheets directly
Best For Data analysts bouncing between spreadsheets and Jupyter Notebook, data engineers building reusable data pipelines, finance teams pulling live figures from QuickBooks, and cross-functional teams that need transparent, auditable collaborative analysis.
Unique Advantages Code transparency is the biggest highlight — all AI analysis is visible and editable, satisfying enterprise compliance requirements. A Rust/WebGL-based architecture far outperforms traditional spreadsheets. SOC 2 and HIPAA certified, with self-hosted deployment support.
Editor's Review Users rate it a perfect 5.0/5, and professional data scientists report it fully replaces their messy Jupyter Notebooks. Its funding pedigree and all-star investor lineup (the Pandas creator, Replit's CEO) validate the market potential. Permanently free for individuals with a strong-value team plan. For data teams that need code power and transparency, this is one of the best options on the market today.
Pricing
### 💰 定价模式：免费增值 **起步价**：免费 #### 主要方案 - **Personal（个人版）**：$0 - 有限的AI使用额度、文件共享和数据源连接 - **Pro（专业版）**：$18/用户/月（年付）- 每月$20 AI积分、无限文件和数据源、更多AI模型 - **Business（商业版）**：$36/用户/月（年付）- 2倍AI积分、按需使用、适合高容量团队 - **Enterprise（企业版）**：定制报价 - 定制AI额度、SSO、自托管选项、专属支持 #### 试用/其他信息 个人用户可永久免费使用核心功能（有限制）。教育用户享特殊折扣。自托管版本对3人以下团队免费。月付价格比年付高约10%。 — Visit website
FAQ
Is Quadratic free?
The personal edition is completely free with permanent access to core features (subject to AI usage limits). The professional team edition starts at $18/user/month, and the self-hosted version is free for teams of 3 or fewer.
What are Quadratic's main features?
Core features include AI natural language analysis, native Python/SQL/JavaScript programming, live database connections, an infinite canvas, real-time multiplayer collaboration, MCP ecosystem integration, and enterprise-grade security compliance.
Do I need programming knowledge to use Quadratic?
Not at all. You can use traditional formulas entirely, or have AI write and debug code. If you know Python/SQL, you can write code directly for greater flexibility. The platform's design goal is "beginners feel at home, advanced users never hit a wall."
How does Quadratic differ from Excel?
Quadratic natively supports Python/SQL/JavaScript (Excel only in limited beta), has built-in real-time multiplayer collaboration (Excel requires OneDrive sync), stronger cloud compute performance, deeper AI integration, and a free personal edition. Excel remains more mature in deep pivot tables and financial modeling features.
How does Quadratic differ from Google Sheets?
Quadratic is technically stronger, natively supporting the full Python ecosystem (Google Sheets offers only Apps Script), performing better on large datasets, with more powerful native AI features and live database connections. Google Sheets has a lower learning curve and suits non-technical users better.
How does Quadratic differ from Jupyter Notebook?
Quadratic uses a spreadsheet grid interface (Jupyter is a linear notebook), has built-in real-time collaboration (Jupyter needs extra setup), lets non-technical users view and understand the spreadsheet portions, and runs in the cloud with zero configuration. Jupyter suits deep data science research and model training.
How does Quadratic differ from Julius AI?
Quadratic AI produces visible, auditable code (Julius AI is black-box analysis), suiting scenarios that need transparency, code reuse, and team collaboration. Julius AI better fits quick exploratory analysis and completely non-technical users.
How secure is Quadratic?
SOC 2 Type II and HIPAA certified, with TLS 1.2+ for data in transit and AES-256 at rest, self-hosted deployment support (data never leaves enterprise infrastructure), and role-based access control (RBAC) — meeting enterprise-grade security requirements.