Key enhancements in this version include: 1) Python Bindings: We've added Python bindings for many patterns, allowing you to mine pattern instances and other useful information such as exceptions.
2) Examples and Demos: To facilitate your experience with Desbordante, we've prepared a variety of code samples. Explore our example scripts in the 'examples' folder. For an interactive experience, visit our demos at https://desbordante.streamlit.app/.
3) Enhanced Console Support: The console interface has been rewritten to Python using Python bindings. We also added help descriptions for supported patterns.
4) New Pattern Support: This version introduces support for metric functional dependencies, algebraic constraints, and unique column combinations. We've also expanded the range of simple statistics Desbordante can discover.
5) Revamped Web Application: We have completely redesigned the UI. Additionally, the web application now supports metric functional dependencies and includes predefined examples. Visit the new web version at https://desbordante.unidata-platform.ru/.
Desbordante is a high-performance data profiler focused on exploratory data analysis. Our tool is distinct in its ability to reveal complex patterns hidden in data, such as functional (both exact and approximate) dependencies, conditional dependencies, association rules, and more. For those interested, we've prepared an introductory article about Desbordante: https://medium.com/@chernishev/exploratory-data-analysis-wit....
We have also started a Google group for inquiries and discussions: https://groups.google.com/g/desbordante.
Lastly, as an open-source project, we welcome contributions: https://github.com/Mstrutov/Desbordante.