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 v1.4.2?
This minor update includes robustness fixes and configuration enhancements.
⚙️ Enhancements
- Configuration Management: Enhanced reproducibility display and refactored configuration handling to ensure a consistent state.
- Legacy Config Support: Added migration logic for specific fields from old nested configuration structures.
- Others: Localized some error messages and added input sanitization for all possible inputs (e.g. json config) not only for CLI inputs.
🐛 Bug Fixes
- Infinite Loop Prevention: Fixed a potential infinite loop when providing an invalid path for the output directory.
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: v1.4.1...v1.4.2