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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.

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.

A startup from the United States that is founded by Hank.

(0 reviews)
Pricing:
  • Free
Platforms:
  • Windows
  • Linux
  • Mac
  • Online
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dataprep.dev

dataprep.dev Reviews and Details

This page is designed to help you find out whether dataprep.dev is good and if it is the right choice for you.

#Spreadsheets #Data Analysis #Developer Tools #Analytics #Productivity #Office Suites #Databases #No Code

Screenshots and images

  • 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

Features & Specs

  1. Data Privacy

    100% local processing (Zero Uploads). Data never leaves your browser.

  2. Core Engine

    Powered by DuckDB-Wasm for database-level speeds without a backend.

  3. Key Tools

    SQL on CSV, CSV Merger, GDPR Anonymizer, & JSON Flattening.

  4. E-commerce Ready

    Instantly clean and flatten Shopify, Amazon, and Stripe export reports.

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Questions & Answers

As answered by people managing dataprep.dev.

  1. What's the story behind dataprep.dev?

    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.

  2. Who are some of the biggest customers of dataprep.dev?

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

  3. What makes dataprep.dev unique?

    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.

  4. Why should a person choose dataprep.dev over its competitors?

    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.

  5. How would you describe the primary audience of dataprep.dev?

    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.

  6. Which are the primary technologies used for building dataprep.dev?

    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.

Videos

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

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  • Domain Rating (DR)

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  • Domain Authority (DA)

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Is dataprep.dev good? This is an informative page that will help you find out. Moreover, you can review and discuss dataprep.dev here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

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