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fd VS dataprep.dev

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

fd

A simple, fast and user-friendly alternative to 'find'.

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?
ASocks
Clear, Fast & Unlimited. Residential & Mobile Proxies For Best Price. sponsored

Which is more popular?

Based on our record, fd seems to be more popular. It has been mentioned 130 times since March 2021.

social mentions
130 vs 0
Productivity popularity
100% vs 0%
alternatives listed
72 vs 11

Base details

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

fd
dataprep.dev
Website github.com dataprep.dev
Pricing
Open source
Free
Platforms —
Windows Linux Mac Online +1
Company Startup from Germany Startup from the United States · 1 - 9 employees · 2026
Listed in
Terminal Tools Developer Tools API Tools Linux +1
Spreadsheets Data Analysis Developer Tools Analytics Productivity Office Suites Databases No Code +5

About fd and dataprep.dev

In their own words, as submitted to SaaSHub.

fd
dataprep.dev

No description of fd 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.

fd 6 features
dataprep.dev 4 features
  • Speed
    fd is optimized for speed and can outperform traditional tools like find due to its use of parallelism and optimized algorithms.
  • Ease of Use
    fd has a simpler and more user-friendly syntax compared to find, making it easier to learn and use.
  • Colorized Output
    fd provides colorized output by default, making it easier to differentiate between file types and enhancing readability.
  • Smart Case
    fd enables smart case detection by default, meaning searches are case-insensitive unless the pattern includes an uppercase letter.
  • Defaults to Ignoring Hidden Files
    By default, fd ignores hidden files and directories, as well as files specified in .gitignore, helping to narrow down search results to relevant files.
  • Cross-Platform Support
    fd supports multiple platforms including Linux, macOS, and Windows, making it versatile for different development environments.

Possible disadvantages

  • Dependency on Rust
    fd requires the Rust toolchain to build, which may be inconvenient for environments where installing additional dependencies is restricted.
  • Limited to Modern Features
    fd may not support some legacy systems and older versions of operating systems, limiting its applicability in certain scenarios.
  • Not as Feature-Rich
    While fd is easier to use, it doesn't have all the advanced features and fine-grained control options that find offers.
  • Compatibility
    fd’s simplified syntax and modern features may not be directly compatible with scripts or workflows that depend on find, requiring adjustments for integration.
  • 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.

Analysis

An editorial look at what each product does well and who it suits.

fd
dataprep.dev

Overall verdict

  • Yes, fd (github.com) is generally considered good, particularly for its speed, ease of use, and modern features that enhance productivity over the traditional 'find' command.

Why this product is good

  • fd is a program for users who need a fast and user-friendly alternative to the traditional 'find' command. It provides a simple syntax, speed improvements by parallelizing search processes, ignores hidden files and directories by default, and offers colorized outputs, making it more intuitive and efficient for everyday use.

Recommended for

    fd is recommended for developers, system administrators, and power users who often search through directories and require a fast, efficient tool with a shorter learning curve.

No analysis of dataprep.dev yet.

Videos

Walkthroughs and reviews on video.

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

Discmania FD (Fairway Driver) Golf Disc Review

More videos

  • - Honda Civic FD | Review & Tips If you want to own one
  • - Regular Car Reviews: 1993 Mazda RX-7 FD

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
fd
dataprep.dev
100% 100%
Productivity
0% 0%
0% 0%
Analytics
100% 100%
100% 100%
Note Taking
0% 0%
0% 0%
Spreadsheets
100% 100%

Questions & Answers

As answered by people managing fd 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

Share your experience with using fd and dataprep.dev. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

fd 130 mentions
dataprep.dev 0 mentions
  • I Replaced a 461-Million-Downloads-a-Month Glob Package With One Rust File
    Fast-glob was the Package Killer target, but it was not the only comparison worth making. Developers often reach for fd or ripgrep when they need to locate files from a terminal. They are mature native tools with excellent defaults, so... - Source: dev.to / about 2 months ago
  • I wrote an bash enumerator because I was sick of xargs
    > Find works, but the syntax is arcane. Fd is a lifesaver: https://github.com/sharkdp/fd. - Source: Hacker News / 3 months ago
  • Biff is a command line datetime Swiss army knife
    I know that if you want `fd` (https://github.com/sharkdp/fd) you need to `apt install fd-find` and which installs the binary `fdfind` (!). - Source: Hacker News / 5 months ago

View more

Tracking dataprep.dev since Jul 2026.

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