DataRadar is a privacy-first data quality profiling tool designed for locked-down environments where installing software isn't possible. All processing happens client-side in your browser using WebAssembly - your data never leaves your laptop.
Council workers, NHS staff, university researchers, and SMB analysts often face a frustrating challenge: they receive unknown datasets but can't install the tools needed to validate them. Their "terrible Windows laptop" has no Python, no R, no SQL tools - just a web browser.
Meanwhile, data quality issues like encoding problems, nulls in unexpected places, and format inconsistencies go unnoticed until they cause failures downstream.
DataRadar brings enterprise-grade data profiling to your browser. Upload a CSV, Excel file, or JSON dataset and instantly see:
DataRadar is the entry point to a complete data quality ecosystem. As your needs grow, our tools scale with you.
Most data quality tools follow one of two extremes: either they're massive enterprise platforms requiring complex setup, or they're simple scripts that don't scale. DataRadar fills the gap with a freemium funnel that meets you where you are:
DataRadar is developed by Andrew Morgan, author of Mastering Spark for Data Science, and is based on bytefreq, a 20 year old data profiling toolkit originally coded in awk. More recently Andrew led the development of DQPRE, a bespoke data quality tool that scales to needs of the UK Central Government, a modern scala tool now opensourced. Andrew's latest data quality project is dataradar, a wasm based browser tool powered by bytefreq, an open-source Rust library implementing the DQOR (Data Quality On Read) pattern.