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Show HN: Hyperparam: OSS Tools for Exploring Datasets Locally in the Browser
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 efficientlyCLI for viewing local files: npx hyperparam dataset.parquetExample 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: 23 # Comments: 15
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: 23
# Comments: 15
