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

Summary

Hyperparam Open-SourceHyperparam 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 AI in the BrowserOur mission is to empower ML practitioners to create the best training datasets for the best models. This stems from an industry-wide realization that model performance is ultimately bounded by data quality, not just model architecture or hyperparameters. Hyperparam envisions a new workflow where:Interactive Data Exploration at Scale: Users can freely explore huge datasets (millions or billions of records) with fast, free-form interactions to uncover insights. Unlike traditional Python notebooks that struggle with large data (often requiring downsampling or clunky pagination), Hyperparam leverages browser technology for a smooth UI.AI-Assisted Curation: Hyperparam integrates ML models to help label, filter, and transform data at a scale that would be impractical to review manually. By combining a highly interactive UI with model assistance, we make it possible for the user to use data to express exactly what they want from the model.Local-First and Private: Hyperparam runs ...