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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