Desbordante, an open-source, high-performance data profiler designed to discover and validate complex patterns in data, has released version 2.4.0. This update introduces several key features, including support for validation tasks for four different patterns and a discovery task for graph functional dependencies. Additionally, it includes serialization of the identified patterns and provides Colab notebooks with examples, allowing users to quickly familiarize themselves with the profiler and select the most suitable pattern for their needs.

The detailed release notes are here: https://github.com/Desbordante/desbordante-core/releases/tag...