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51 points olllo | 1 comments | | HN request time: 0.216s | source

I built CSV GB+ by Data.olllo, a local data tool that lets you open, clean, and export gigabyte-sized CSVs (even billions of rows) without writing code.

Most spreadsheet apps choke on big files. Coding in pandas or Polars works—but not everyone wants to write scripts just to filter or merge CSVs. CSV GB+ gives you a fast, point-and-click interface built on dual backends (memory-optimized or disk-backed) so you can process huge datasets offline.

Key Features: Handles massive CSVs with ease — merge, split, dedup, filter, batch export

Smart engine switch: disk-based "V Core" or RAM-based "P Core"

All processing is offline – no data upload or telemetry

Supports CSV, XLSX, JSON, DBF, Parquet and more

Designed for data pros, students, and privacy-conscious users

Register for 7-days free to pro try, pro versions remove row limits and unlock full features. I’m a solo dev building Data.olllo as a serious alternative to heavy coding or bloated enterprise tools.

Download for Windows: https://apps.microsoft.com/detail/9PFR86LCQPGS

User Guide: https://olllo.top/articles/article-0-Data.olllo-UserGuide

Would love feedback! I’m actively improving it based on real use cases.

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TheTaytay ◴[] No.43986449[source]
Thank you for this. I find myself increasingly using CSVs (TSVs actually) as the data format of choice. I confess I wish this was written for Mac too, but I like the trend of (once again) moving data processing down to our super computers on our desk...
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1. hilti ◴[] No.43987056[source]
… I‘m trying to use our super computers in our pockets, like an iPhone ;-) But still struggling with the way how to present CSV data effectively on a small screen, although it‘s huge in terms of pixels compared to computer screens from the 90s

It‘s interesting to research how capable applications like Lotus123 have been even on low resolutions like 800x600 pixel compared to today’s standard