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.<p>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.<p>Key Features:
Handles massive CSVs with ease — merge, split, dedup, filter, batch export<p>Smart engine switch: disk-based "V Core" or RAM-based "P Core"<p>All processing is offline – no data upload or telemetry<p>Supports CSV, XLSX, JSON, DBF, Parquet and more<p>Designed for data pros, students, and privacy-conscious users<p>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.<p>Download for Windows:
<a href="https://apps.microsoft.com/detail/9PFR86LCQPGS" rel="nofollow">https://apps.microsoft.com/detail/9PFR86LCQPGS</a><p>User Guide:
<a href="https://olllo.top/articles/article-0-Data.olllo-UserGuide" rel="nofollow">https://olllo.top/articles/article-0-Data.olllo-UserGuide</a><p>Would love feedback! I’m actively improving it based on real use cases.