v1.4.1
HERA
HERA is a MATLAB based scientific ranking framework for paired benchmarking. It provides a hierarchical-compensatory logic, advanced effect-size statistics, and automated reporting capabilities.
For more information please refer to the Readme and Project Documentation.
What's New in v1.4.1?
This fast-follow release focuses on documentation clarity and significant package size optimization for leaner distributions.
📦 Optimization for Builds
- Reduced Package Size: Reduced the size of both the MATLAB Toolbox (
.mltbx) and the Python distribution packages. - Refined Build Scripts: Updated deployment scripts to ensure cleaner package generation across all platforms.
📖 Documentation
- Documentation Overhaul: Comprehensive updates to the scientific methodology sections for HERA to provide a better wiki on the GitHub page.
Recent Major Features (from v1.4.0)
✨ Convergence Analysis Enhancements:
- New Scenario: Added a "Sensitivity" scenario with small effect sizes.
- JSON Configuration: All scenarios are fully customizable through a JSON configuration file
(For a full list of features, see the v1.4.0 Release Notes)
🖥️ Platform Support
- MATLAB Toolbox & Python Package: Windows, macOS (Intel & Apple Silicon), Linux
- Standalone Runtime Application: macOS (Apple Silicon ONLY)
📦 Compatibility
- MATLAB: Compatible with R2020a and newer.
- Python: Compatible with Python 3.9 through 3.12 and Matlab Runtime R2025b (25.2).
Full Changelog: v1.4.0...v1.4.1