Show HN: Hyperparam: OSS Tools for Exploring Datasets Locally in the Browser

Hyperparam Open-Source Hyperparam was founded to address a critical gap in the machine learning ecosystem: the lack of a user-friendly, scalable UI for exploring and curating massive datasets. Our mission is grounded in the belief that data quality is the most important factor in ML success, and that better tools are needed to build better training sets. In practice, this means enabling data scientists and engineers to “look at your data” – even terabyte-scale text corpora – interactively and entirely in-browser without heavy infrastructure. By combining efficient data formats, high-performance JavaScript libraries, and emerging AI assistance, Hyperparam's vision is to put data quality front and center in model development. Our motto “the missing UI for AI data” reflects its goal to make massive data exploration, labeling, and quality management as intuitive as modern web apps, all while respecting privacy and compliance through a local-first design. Mission and Vision: Data-Centric ... Read full article.