LeapRows is a blazing-fast, browser-based CSV analysis tool powered by DuckDB-WASM. It handles 1,000,000+ rows directly in your browser โ no server uploads, no Python setup, no file splitting required.
All processing happens locally on your device using WebAssembly (WASM) and the Origin Private File System (OPFS). Your data never leaves your browser, making it ideal for teams with strict data privacy requirements.
Key features: 1M+ row support โ break the Excel/Google Sheets row limit without splitting files Private by design โ zero data upload; all analysis runs on your device Smart JOIN โ merge multiple CSV files on multiple keys without SQL Instant pivot & aggregation โ real-time charts and tables, no spinning wheel Recipes โ save your data prep steps as reusable JSON workflows and share them with your team Presets โ regex extraction, ranking, URL parameter parsing via GUI, no code needed Parquet support โ upload or export in Parquet format for faster repeat analysis
LeapRows is built for data analysts, marketers, and sales ops professionals who need spreadsheet-level simplicity at database-level scale โ without waiting for an engineering ticket.
A startup from Japan that is founded by Yuki Nakazawa.
User-Friendly Interface
LeapRows provides an intuitive and easy-to-navigate interface that enhances user experience and accessibility for its users.
Comprehensive Features
Offers a wide range of features that cater to different business needs, providing an all-in-one solution.
Scalability
The platform is designed to scale efficiently with business growth, handling increased data and user demands seamlessly.
LeapRows is a fully local, browser-based data tool powered by DuckDB-WASM that handles 1M+ row CSV files with blazing speed โ no server, no uploads.
LeapRows was born out of two frustrations: the "Python sharing problem" and server costs.
As an in-house SEO specialist, I frequently work with large CSVs exported from tools like Ahrefs, Google Search Console, and BigQuery โ often hundreds of thousands of rows. For heavy lifting, I'd reach for Python (Polars), but Python has a steep barrier: environment setup, code adjustments, and a learning curve that made it impossible to share with non-engineer teammates.
Even for myself, I'd often think "do I really need to write Python just for this small transformation?" On top of that, frustrating edge cases โ like type inference inconsistencies causing join errors on the same CSV from the same tool โ kept piling up.
I wanted something as easy as a spreadsheet but capable of handling millions of rows. That's what LeapRows is.
DuckDB-WASM, OPFS๏ผOrigin Private File System๏ผ
LeapRows appears to be a solid choice for teams looking for a streamlined data or spreadsheet management solution, offering an intuitive interface and useful collaboration features, though prospective users should verify current features and pricing directly on the official site.
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Check the traffic stats of LeapRows on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of LeapRows on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of LeapRows's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of LeapRows on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about LeapRows on Reddit. This can help you find out how popualr the product is and what people think about it.
I use this setup on LeapRows, a browser-based CSV tool I built on Vercel. - Source: dev.to / 4 months ago
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