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highlight.js VS dataprep.dev

Compare highlight.js VS dataprep.dev and see what are their differences

highlight.js

Highlight.js is a syntax highlighter written in JavaScript. It works in the browser as well as on the server.

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?
SquadPrime
Free MVP cost calculator: describe your app in 5 clicks and get a realistic 2026 estimate for a freelancer build, a traditional agency and a fixed-price 14-day build by senior professionals, where the client owns the code. 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, highlight.js seems to be more popular. It has been mentioned 57 times since March 2021.

social mentions
57 vs 0
App Reviews popularity
100% vs 0%
alternatives listed
53 vs 11

Base details

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

highlight.js
dataprep.dev
Website highlightjs.org dataprep.dev
Pricing
Open source
Free
Platforms —
Windows Linux Mac Online +1
Company — Startup from the United States · 1 - 9 employees · 2026
Listed in
Customer Feedback App Reviews Marketing Tools Documentation +1
Spreadsheets Data Analysis Developer Tools Analytics Productivity Office Suites Databases No Code +5

About highlight.js and dataprep.dev

In their own words, as submitted to SaaSHub.

highlight.js
dataprep.dev

No description of highlight.js 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.

highlight.js 5 features
dataprep.dev 4 features
  • Wide Language Support
    Highlight.js supports a comprehensive range of programming languages out of the box, making it versatile for various projects.
  • Automatic Language Detection
    It can automatically detect the programming language of a code block, reducing the setup time and effort for developers.
  • Customization
    Highlight.js offers numerous themes and customization options, allowing developers to easily tailor the syntax highlighting to match their application's aesthetic.
  • Lightweight and Fast
    The library is lightweight and performs efficiently, ensuring quick load times and a seamless user experience.
  • Open Source
    As an open-source project, Highlight.js benefits from community contributions and is free to use, modify, and distribute.

Possible disadvantages

  • Limited Dynamic Features
    Highlight.js is primarily used for static code block highlighting and lacks advanced features like real-time editing or complex code analysis.
  • Manual Updates
    New languages or updates may not be immediately available, requiring users to manually update the library or find alternatives for less common languages.
  • Performance Degradation on Large Files
    Highlight.js may experience performance issues when rendering very large code files, potentially slowing down page load times.
  • Dependency Management
    As with many JavaScript libraries, managing dependencies and ensuring compatibility with other libraries or frameworks can be challenging.
  • 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.

highlight.js 0 videos + Add
dataprep.dev 1 video + Add

No highlight.js videos yet. You could help us improve this page by suggesting one.

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
highlight.js
dataprep.dev
100% 100%
App Reviews
0% 0%
0% 0%
Analytics
100% 100%
100% 100%
Customer Feedback
0% 0%
0% 0%
Spreadsheets
100% 100%

Questions & Answers

As answered by people managing highlight.js 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 highlight.js 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.

highlight.js 57 mentions
dataprep.dev 0 mentions
  • Angular’s New injectAsync() API Explained
    In our demo application, we're using highlight.js and Marked for markdown processing and syntax highlighting. - Source: dev.to / 6 months ago
  • Open-Source N8N Alternative for Workflow Building (GUI and Docker Included)
    In your website you could use https://highlightjs.org/ to syntax highlight the blocks of code. - Source: Hacker News / 11 months ago
  • A better pkg.go.dev
    Every time a request come in, we forward it to the pkg.go.dev server, then append the highlight.js script to the response before sending it back to the client. - Source: dev.to / over 1 year ago

View more

Tracking dataprep.dev since Jul 2026.

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