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CyberChef VS dataprep.dev

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

CyberChef

The Cyber Swiss Army Knife

No screenshot yet
Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
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.

Rating
0 reviews
Pricing
Free
Alternatives Is it good?
Sendaway.co
Send files and text between devices with a simple 6-digit code. No account, email or shared link required. sponsored

Which is more popular?

Developer Tools popularity
100% vs 0%
alternatives listed
240+ vs 6

Base details

Website, pricing, platforms and company facts side by side.

CyberChef
dataprep.dev
Website gchq.github.io dataprep.dev
Pricing
Open source
Free
Platforms —
Windows Linux Mac Online +1
Company — Startup from the United States · 1 - 9 employees · 2026
Listed in
Productivity Developer Tools Open Source File Sharing +1
Spreadsheets Data Analysis Developer Tools Analytics Productivity Office Suites Databases No Code +5

About CyberChef and dataprep.dev

In their own words, as submitted to SaaSHub.

CyberChef
dataprep.dev

No description of CyberChef yet.

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...

Read more about dataprep.dev

Features and specs

What each product offers, as listed by its team.

CyberChef 0 features
dataprep.dev 4 features

No features have been listed yet.

  • 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.

Videos

Walkthroughs and reviews on video.

CyberChef 3 videos + Add
dataprep.dev 1 video + Add

Decoding with CyberChef - TryHackMe! Advent of Cyber Day 22

More videos

  • - CyberChef - Lessons for Learning Encryption
  • - CyberChef

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
CyberChef
dataprep.dev
100% 100%
Developer Tools
0% 0%
0% 0%
Data Analysis
100% 100%
96% 96%
Productivity
4% 4%
100% 100%
Utilities
0% 0%

Questions & Answers

As answered by people managing CyberChef 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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