Show HN: Hyperparam: OSS Tools for Exploring Datasets Locally in the Browser
a year ago
- #machine-learning
- #data-visualization
- #open-source
- Hyperparam addresses the gap in ML with a scalable, browser-based UI for large datasets.
- Focuses on data quality as key to ML success, enabling interactive exploration without heavy infrastructure.
- Tools include Hyparquet for in-browser Parquet file reading, Hyparquet-Writer for exporting, and HighTable for scalable data visualization.
- Icebird extends functionality to Apache Iceberg tables, supporting schema evolution and time travel queries.
- Hyllama parses LLM model metadata in GGUF format, useful for inspecting model architectures.
- Hyperparam CLI provides a local web UI for dataset viewing, integrating all tools for a seamless workflow.
- All tools are open-source, designed for performance, minimal dependencies, and standards compliance.