Hyparquet 1.0 – Apache Parquet Parser for the Browser
I started 6 months ago when I wanted to look inside datasets from Hugging Face. I was not satisfied with existing libraries. So, naturally, I built my own library from scratch. Parquet is a very complicated format. It has 22 data types, 9 encodings, 8 compression codecs. Previous parquet js libraries went abandoned due to the complexity. However, I can confidently say that Hyparquet is now the most conformant parquet parser in existence. It can open more files than PyArrow and DuckDB. I dare you to find a file that Hyparquet can’t open! In addition to supporting all the parquet files,…
Hyparquet 1.0 – Apache Parquet Parser for the Browser launched on June 25, 2024 with 6 votes, #1,458 of 4,672 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
parquet file parser for javascript. Contribute to hyparam/hyparquet development by creating an account on GitHub.
In the maker’s words, at launch
I started 6 months ago when I wanted to look inside datasets from Hugging Face. I was not satisfied with existing libraries. So, naturally, I built my own library from scratch. Parquet is a very complicated format. It has 22 data types, 9 encodings, 8 compression codecs. Previous parquet js libraries went abandoned…
Does a similar job
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Hyperparam: OSS tools for exploring datasets locally in the browser2025 · hyperparam.app · ▲77For 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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Open-source, browser-local data exploration using DuckDB-WASM and PRQL2024 · github.com · ▲227Hey 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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