Desbordante 2.3.2

desbordante-core

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

Desbordante/desbordante-core·

493101C++AGPL-3.0

anomaly-detectioncorrelationsdata-analyticsdata-cleaningdata-cleansingdata-engineering+14

Last updated 3 days ago

Hello everyone! This release primarily focuses on bug fixes and improvements related to Numerical Association Rule (NAR) discovery. Here are the key changes:

Optional Seed Parameter: Introduced an optional seed parameter in the NAR discovery algorithm to ensure repeatability across subsequent invocations.
Consistent NAR Discovery Example: Updated the NAR discovery example to guarantee consistent results across different machines and invocation.
Improved Python Bindings: Fixed the IND, AIND, and SFD Python bindings to prevent further invocations from disrupting previously found pattern instances.
CMake Version Requirement: The README now clearly states the requirement for CMake version 3.25.
Build System Upgrade: Transitioned from Make to Ninja for faster build times.
MacOS Performance Improvements: Several algorithms (FDep, FastADC, FastOD) have received a significant speed boost, achieving performance parity with their Linux counterparts.

Hello everyone! This release primarily focuses on bug fixes and improvements related to Numerical Association Rule (NAR) discovery. Here are the key changes:

Optional Seed Parameter: Introduced an optional seed parameter in the NAR discovery algorithm to ensure repeatability across subsequent invocations.
Consistent NAR Discovery Example: Updated the NAR discovery example to guarantee consistent results across different machines and invocation.
Improved Python Bindings: Fixed the IND, AIND, and SFD Python bindings to prevent further invocations from disrupting previously found pattern instances.
CMake Version Requirement: The README now clearly states the requirement for CMake version 3.25.
Build System Upgrade: Transitioned from Make to Ninja for faster build times.
MacOS Performance Improvements: Several algorithms (FDep, FastADC, FastOD) have received a significant speed boost, achieving performance parity with their Linux counterparts.

desbordante-core

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