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Show HN: CSV GB+ by Data.olllo – Open and Process CSVs Locally

(apps.microsoft.com)
51 points olllo | 6 comments | 14 May 25 15:12 UTC | HN request time: 0.605s | source | bottom

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.

1. TheTaytay ◴[14 May 25 16:29 UTC] 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...
replies(5): >>43987056 #>>43987501 #>>43989127 #>>43989226 #>>43993450 #
2. hilti ◴[14 May 25 17:24 UTC] 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

3. RyanHamilton ◴[14 May 25 18:08 UTC] No.43987501[source]▶
QStudio allows querying CSV on mac via DuckDB: https://www.timestored.com/qstudio/csv-file-viewer I've been improving the Mac version a lot lately, key bindings, icon, an App package to download. So if you find any problems please raise a github issue.
4. hermitcrab ◴[14 May 25 20:56 UTC] No.43989127[source]▶
If you are wrangling CSV/TSV files on Mac, it might be worth taking a look at Easy Data Transform.
5. paddy_m ◴[14 May 25 21:07 UTC] No.43989226[source]▶
Ok, if we are all tagging and promoting our own projects, check out mine.

I created Buckaroo to provide a better table viewing experience inside of notebooks. I also built a low code UI and auto cleaning to expedite the wrote data cleaning tasks that take up a large portion of data analysis. Autocleaning is heuristically powered - no LLMs, so it's fast and your data stays local. You can apply different autocleaning strategies and visually inspect the results. When you are happy with the cleaning, you can copy and paste the python code as a reusable function.

All of this is open source, and its extendable/customizable.

Here's a video walking through autocleaning and how to extend it https://youtu.be/A-GKVsqTLMI

Here's the repo: https://github.com/paddymul/buckaroo

6. olllo ◴[15 May 25 10:02 UTC] No.43993450[source]▶
Thank you! I completely agree—TSVs/CSVs are such a simple yet powerful format, and it's great to hear you're making good use of them. I'm also a big fan of doing as much as possible locally—our machines are incredibly capable these days. Good news: I'm currently working on the macOS version of Data.olllo and plan to submit it to the Mac App Store soon. Stay tuned!