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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.
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LeapRows's answer:
LeapRows's answer:
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's answer:
LeapRows's answer:
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.
LeapRows's answer:
DuckDB-WASM, OPFS๏ผOrigin Private File System๏ผ
LeapRows's answer:
it's very easy and useful for someone who has a website
LeapRows might be a bit more popular than Hexowatch. We know about 1 link to it since March 2021 and only 1 link to Hexowatch. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hexowatch offers 13 monitoring types beyond content: tech stack, source code, WHOIS, availability, API endpoints, and more. - Source: dev.to / 5 months ago
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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