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Dev tools · March 27, 2026

Fast Parquet Viewer

A fast, lightweight desktop viewer for .parquet files

Visit site ↗Alternativestop 14% of March 2026

What it does

A lightning fast, cross-platform, lightweight desktop viewer for parquet files built with Rust. Drag & drop, virtual scrolling, column sorting, search and filter. Make this your default application for opening parquet files.

Does the same job

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  • PA
    Parqeye – A CLI tool to visualize and inspect Parquet filesNov 2025 · github.com · ▲167

    I built a Rust-based CLI/terminal UI for inspecting Parquet files—data, metadata, and row-group-level structure—right from the terminal. If someone sent me a Parquet file, I used to open DuckDB or Polars just to see what was inside. Now I can do it with one command. Repo: https://github.com/kaushiksrini/parqeye

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    Hyperparam: OSS tools for exploring datasets locally in the browser2025 · hyperparam.app · ▲77

    For the last year I’ve been developing Hyperparam — a collection of small, fast, dependency-free open-source libraries designed for data scientists and ML engineers to actually look at their data. - Hyparquet: Read any Parquet file in browser/node.js - Icebird: Explore Iceberg tables without needing Spark/Presto - HighTable: Virtual scrolling of millions of rows - Hyparquet-Writer: Export Parquet easily from JS - Hyllama: Read llama.cpp .gguf LLM metadata efficiently CLI for viewing local files: npx hyperparam dataset.parquet Example dataset on Hugging Face Space:…

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  • OS
    Open-source, browser-local data exploration using DuckDB-WASM and PRQL2024 · github.com · ▲227

    Hey HN! We’ve built Pretzel, an open-source data exploration and visualization tool that runs fully in the browser and can handle large files (200 MB CSV on my 8gb MacBook air is snappy). It’s also reactive - so if, for example, you change a filter, all the data transform blocks after it re-evaluate automatically. You can try it here: https://pretzelai.github.io/ (static hosted webpage) or see a demo video here: https://www.youtube.com/watch?v=73wNEun_L7w You can play with the demo CSV that’s pre-loaded (GitHub data of text-editor adjacent projects) or upload…

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