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Work · April 14, 2026

Viztab

Load massive CSV/XSLX files instantly + without crashing

What it does

Import massive datasets in seconds. Scroll through millions of rows and run formulas instantly with no lag or crashes. Runs locally in your browser or on your desktop.

Does a similar job

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    GS-Calc – A modern spreadsheet with Python integration2025 · citadel5.com · ▲112

    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…

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  • CG
    CSV GB+ by Data.olllo – Open and Process CSVs Locally2025 · apps.microsoft.com · ▲51

    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…

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