Show HN: Desbordante 2.5.0 Released

Category: database

Tags: data-profiling, data-quality, rule-discovery, dependencies, cpp, python

Score: 7.8/10 (Innovation: 7, Technical: 9, Documentation: 8, Utility: 7)

Desbordante is a high-performance C++ data profiler that discovers and validates complex patterns like functional dependencies, inclusion dependencies, and association rules using symbolic, explainable algorithms. It supports discovery, validation, and dynamic updates across tabular, graph, transactional, and event sequence data, offering a unique complement to black-box ML with rule-based, auditable insights.

Target audience: data engineers, database researchers, data scientists, data quality analysts

Repository: https://github.com/Desbordante/desbordante-core/releases/tag/v2.5.0 · C++ · AGPL-3.0 · 512 stars

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