Alternatives
Products that do what CSV Explorer (YC F1) - Explore CSVs with Millions of Rows does
- 1IM
2021 · github.com
- 2CQ
2019 · github.com
- 3

- 4Q1
2020 · try.questdb.io
- 5GC
Process large (e.g. 4GB+) data sets in a spreadsheet. Load GB/32 million-row files in seconds and use them without any crashes using up to about 500GB RAM. Load/edit in-place/split/merge/clean CSV/text files with up to 32 million rows and 1 million columns. Use your Python functions as UDF formulas that can return to GS-Calc images and entire CSV files. Use a set of statistical pivot data functions. Solver functions virtually without limits for the number of variables. Create and display all popular chart types with millions of data points instantly. Suggestions…
2025 · citadel5.com
- 6PC
2015 · github.com
- 7FC
2018 · github.com
- 8

- 9WW
2021 · superintendent.app
- 10CA
2019 · github.com
- 11CI
2017 · csvshare.com
- 12FA
2019 · flatfile.io
- 13CG
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…
2025 · apps.microsoft.com
- 14CR
2020 · github.com
- 15DC
Sep 2025 · github.com
- 16CC
2017 · github.com
- 17TA
2017 · tadviewer.com
- 18FF
2021 · github.com
- 19QC
2015 · github.com
- 20MA
Dec 2025 · morph-ai-era.online
- 21AS
New features added recently: [+] The "Text File Input Filters" have been added to enable processing of CSV / text files of any size with any number of rows regardless of the amount of RAM in a computer. Filters can use RegEx patters, the popular relations, ranges and fuzzy filters. https://citadel5.com/help/gsbase/open_text_file.png For example, in GS-Base you can load this (publicly available) NYC Yellow Taxis data set: https://www.kaggle.com/datasets/elemento/nyc-yellow-taxi-tri... (1.9GB, ~12.7 million rows) in ~20s on an…
2024 · citadel5.com
- 22CL
2018 · github.com
- 23SI
2014 · github.com
- 24PF
2014 · sharecsv.com
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