FireBench is an open-source Python library for systematic, transparent, and reproducible benchmarking and intercomparison of fire models. It provides standardized model-output formats, benchmark datasets, metrics, normalization, scorecards, and command-line workflows.
git clone https://github.com/wirc-sjsu/firebench.git
cd firebench
python -m venv .venv
source .venv/bin/activate
python -m pip install .
firebench listFor environment setup, benchmark data, target selection, and complete workflows, use the FireBench documentation.
Questions and ideas are welcome in GitHub Discussions. See the contribution guide to contribute code, data, documentation, or workflows.
