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dataprep.dev VS code-prettify

Compare dataprep.dev VS code-prettify and see what are their differences

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?
code-prettify

Code Prettify is an embeddable script that makes source-code snippets in HTML prettier.

Rating
0 reviews
Alternatives Is it good?
Usejarvis
Turn business tasks into reusable workflows with company context, AI judgement and human approvals. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, code-prettify seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
0 vs 1
Data Analysis popularity
100% vs 0%
alternatives listed
11 vs 42

Base details

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

dataprep.dev
code-prettify
Website dataprep.dev github.com
Pricing
Free
—
Platforms
Windows Linux Mac Online +1
—
Company Startup from the United States · 1 - 9 employees · 2026 —
Listed in
Spreadsheets Data Analysis Developer Tools Analytics Productivity Office Suites Databases No Code +5
Marketing Tools Customer Feedback Forms And Surveys User Feedback +1

About dataprep.dev and code-prettify

In their own words, as submitted to SaaSHub.

dataprep.dev
code-prettify

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

No description of code-prettify yet.

Features and specs

What each product offers, as listed by its team.

dataprep.dev 4 features
code-prettify 4 features
  • 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.
  • Easy to Integrate
    Code-prettify is simple to integrate into web projects. It uses plain JavaScript and works by adding a single script tag to your HTML, which makes it easy to set up.
  • Language Support
    The library supports a wide range of programming languages out of the box, which makes it versatile for various types of code highlighting without needing additional plugins.
  • Lightweight
    Compared to some other syntax highlighters, code-prettify has a relatively small footprint, which helps in maintaining fast loading times for web pages.
  • Browser Compatibility
    It is compatible with most modern and older browsers, ensuring consistent syntax highlighting across different client environments.

Possible disadvantages

  • Archived Status
    The repository is archived, meaning it is no longer actively maintained by Google. This could pose issues with future compatibility or bug fixes.
  • Customization Limitations
    While it provides a decent level of default styling, customization options are limited compared to some other syntax highlighters that offer more theming flexibility.
  • Lack of Recent Updates
    Being an archived project, it doesn't receive updates or improvements, missing out on newer features or optimizations available in currently maintained libraries.
  • Community Support
    As the project is no longer active, community support may be limited, making it potentially challenging to get help or find resources for troubleshooting issues.

Videos

Walkthroughs and reviews on video.

dataprep.dev 1 video + Add
code-prettify 0 videos + Add

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

No code-prettify videos yet. You could help us improve this page by suggesting one.

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
dataprep.dev
code-prettify
100% 100%
Data Analysis
0% 0%
0% 0%
Marketing Tools
100% 100%
100% 100%
Analytics
0% 0%
0% 0%
Customer Feedback
100% 100%

Questions & Answers

As answered by people managing dataprep.dev and code-prettify.

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 dataprep.dev and code-prettify. 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.

dataprep.dev 0 mentions
code-prettify 1 mention

Tracking dataprep.dev since Jul 2026.

Alternatives to dataprep.dev and code-prettify

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