Factual package intelligence from PyPI
A lightweight Python framework for rigorous and statistically grounded forecast evaluation, with baseline comparison, horizon-stratified analysis, and Diebold–Mariano testing.
pip install forecasteval
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This release declares no required runtime dependencies in its PyPI metadata.
forecastEval publishes 1 wheel and 1 source archive for version 0.2.4. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .