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: https://huggingface.co/spaces/hyperparam/hyperparam?url=http...
No cloud uploads. No backend servers. A better way to build frontend data applications.
GitHub: https://github.com/hyparam Feedback and PRs welcome!
Comments URL: https://news.ycombinator.com/item?id=43857856
Points: 15
# Comments: 13
Autentifică-te pentru a adăuga comentarii
Alte posturi din acest grup
Hello,
In 2010 I made an open-ended programming game based on Befunge and Brainf*k. I was young and didn't know what I was doing - coding it in AutoIT of all things and using borderless windows
Article URL: https://www.sandordargo.com/blog/2025/04/30/cpp26-constexpr-library-changes
Comments U
