Software Alternatives, Accelerators & Startups

Quadratic VS dataprep.dev

Compare Quadratic VS dataprep.dev and see what are their differences

Quadratic logo Quadratic

Infinite canvas spreadsheet for data science with Python, SQL, and formulas.

dataprep.dev logo dataprep.dev

100% local, zero uploads. Process millions of rows entirely in your browser. The ultimate privacy-first toolkit for CSV, ecommerce, and marketing data.
  • Quadratic Landing page
    Landing page //
    2023-04-19
  • dataprep.dev 20+ Local Data Cleaning Tools (Zero Server Uploads)
    20+ Local Data Cleaning Tools (Zero Server Uploads) //
    2026-07-25
  • dataprep.dev Instant SQL on CSV: Local Browser Queries (DuckDB-Wasm)
    Instant SQL on CSV: Local Browser Queries (DuckDB-Wasm) //
    2026-07-25
  • dataprep.dev Shopify Order Exports: Schema Dictionary & Flatten Tool
    Shopify Order Exports: Schema Dictionary & Flatten Tool //
    2026-07-25

The Browser Data Toolkit for Privacy-Conscious Professionals

dataprep.dev is a 100% local, pure-browser data processing engine designed to solve the biggest headaches in data preparation: Excel crashes and privacy risks.

Powered by cutting-edge DuckDB-Wasm technology, our toolkit brings database-level performance directly into your browser tab. Your data never leaves your device. No servers, no uploads, no GDPR headaches.

๐Ÿš€ Core Capabilities

  • Zero Uploads: Process sensitive PII, financial data, and customer lists with absolute peace of mind.
  • Blazing Fast: Handle million-row CSV and JSON files in seconds.
  • E-commerce & Ads Ready: Instantly flatten messy Shopify order exports, clean Amazon Settlement reports, and normalize ad spend data.
  • SQL on CSV: Run native SQL queries directly against your local files without setting up a backend database.

๐Ÿ› ๏ธ 20+ Niche Tools Included:

  • CSV Merger: Combine up to 50 files instantly without opening them.
  • GDPR Anonymizer: Replace real names/emails with synthetic data before feeding it to ChatGPT.
  • Deep JSON to CSV: Flatten deeply nested JSON arrays into flat tables.
  • Regex Replacer & Format Cleaner.

Stop fighting with bloated spreadsheet software. Clean locally, analyze anywhere.

dataprep.dev

$ Details
free
Platforms
Windows Linux Mac Online
Release Date
2026 July
Startup details
Country
United States
State
Delaware
Founder(s)
Hank
Employees
1 - 9

Quadratic features and specs

No features have been listed yet.

dataprep.dev features and specs

  • Data Privacy
    100% local processing (Zero Uploads). Data never leaves your browser.
  • Core Engine
    Powered by DuckDB-Wasm for database-level speeds without a backend.
  • Key Tools
    SQL on CSV, CSV Merger, GDPR Anonymizer, & JSON Flattening.
  • E-commerce Ready
    Instantly clean and flatten Shopify, Amazon, and Stripe export reports.

Quadratic videos

QUADRATIC EQUATIONS Summary โ€“ PERFECT For Test Review!

More videos:

  • Review - ส•โ€ขแดฅโ€ขส” Quadratic Functions - Explained, Simplified and Made Easy
  • Review - Solving Quadratic Equations (5 Methods)

dataprep.dev videos

Instant SQL on CSV in Browser (DuckDB-Wasm) - Zero Uploads

Category Popularity

0-100% (relative to Quadratic and dataprep.dev)
Spreadsheets
85 85%
15% 15
Data Analysis
0 0%
100% 100
Productivity
81 81%
19% 19
AI
100 100%
0% 0

Questions & Answers

As answered by people managing Quadratic and dataprep.dev.

What's the story behind your product?

dataprep.dev's answer:

I was trying to clean up a massive, messy Shopify order export. Excel kept freezing, and I absolutely refused to upload sensitive customer emails to random online converters. I got so frustrated that I decided to stop complaining and build a local-first toolkit to solve my own workflow nightmare.

Who are some of the biggest customers of your product?

dataprep.dev's answer:

1, Indie hackers and solo founders. 2, Boutique digital marketing agencies. 3, Privacy-conscious data freelancers.

What makes your product unique?

dataprep.dev's answer:

Most data tools force you to upload your CSVs to their servers. We don't. We compiled DuckDB into WebAssembly, meaning you get a blazing-fast, database-level engine running entirely inside your local browser tab. It's 100% private and works instantly.

Why should a person choose your product over its competitors?

dataprep.dev's answer:

If you try to open a 2GB CSV in Excel, it freezes and crashes. If you use Python Pandas, you have to write code and manage environments. dataprep.dev gives you the power of code (SQL queries, regex, merging 50 files) with a simple drag-and-drop UI, without ever freezing your computer.

How would you describe the primary audience of your product?

dataprep.dev's answer:

E-commerce sellers flattening messy Shopify exports, performance marketers cleaning ad reports, and data analysts who need to anonymize PII (GDPR compliance) before feeding datasets to AI models like ChatGPT.

Which are the primary technologies used for building your product?

dataprep.dev's answer:

DuckDB-Wasm is the core data engine handling the heavy lifting. The frontend is built with React/Next.js and styled with Tailwind CSS. It's a modern, serverless architecture.

User comments

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What are some alternatives?

When comparing Quadratic and dataprep.dev, you can also consider the following products

TalktoData AI - Data analytics made easy with AI

Microsoft Office Excel - Microsoft Office Excel is a commercial spreadsheet application.

Equals - A next generation spreadsheet with SQL data connections

Google Sheets - Synchronizing, online-based word processor, part of Google Drive.

Superjoin - Supercharging Spreadsheets

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.