
Sheet 2 Site
Sheetsu
SheetBest
Sheetson
Bubble.io
Stein
SheetDB
Turn any Google sheet into an API instantly, for free. Power websites, apps, or whatever you like, all from a spreadsheet. Changes to your spreadsheet update your API in realtime. Neat

Microsoft Office Excel
Google Sheets
DB Browser for SQLite
Modern CSV
LibreOffice
Airtable
Apache OpenOffice Calc
100% local, zero uploads. Process millions of rows entirely in your browser. The ultimate privacy-first toolkit for CSV, ecommerce, and marketing data.

Which is more popular?
Based on our record, Sheety seems to be more popular. It has been mentioned 11 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | sheety.co | dataprep.dev |
| Pricing | ||
| Platforms | — | |
| Company | — | Startup from the United States · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Sheety 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...
What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
No analysis of dataprep.dev yet.
Walkthroughs and reviews on video.
Arundhati Climax Scene REACTION | Anushka Sheety, Sonu Sood | Parbrahm&Anurag
More videos
Instant SQL on CSV in Browser (DuckDB-Wasm) - Zero Uploads
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Sheety and dataprep.dev.
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.
dataprep.dev's answer:
1, Indie hackers and solo founders. 2, Boutique digital marketing agencies. 3, Privacy-conscious data freelancers.
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.
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.
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.
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.
Share your experience with using Sheety and dataprep.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Neat! This seems very similar to Sheety[0], which I've used a bunch of times before (and found a few bugs...). Do you have any plans to open source? [0]https://sheety.co. - Source: Hacker News / over 2 years ago
You can just use retool alone or if you still want to use bubble maybe the easiest way would be to use https://sheety.co. Source: over 3 years ago
Well there’s https://sheety.co that provides an api to write to google sheets. You just need to set up the fetch mechanism on your web page. Source: over 3 years ago
Tracking dataprep.dev since Jul 2026.
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News. 2017-09-28 - Added PortableApp version of 3. 10. 1. Thanks John.
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