Wildfire Python Packages

landfire

A simple (unofficial) lib for interacting with the Landfire API

ai4fire

Five wildfire tasks for language models and agents, each run bare and grounded and scored beside a non-LLM comparator. 77,644 stored responses; every paper table reproduces offline.

pytorchfire

GPU-accelerated wildfire simulator with differentiable cellular automata in PyTorch, supporting real-time parameter calibration via gradient descent

pyrothermel

Python bindings to the Behave fire modelling framework

simfire

An open-source wildfire simulator written in Python and meant to be used to train reinforcement learning (RL) agents.

fuelgauge

Open-source computer vision that turns any fixed camera into a calibrated sensor: pose from the skyline, decades of footage on one view, every pixel on the map. Live on 8 wildfire cameras.

firedataforge

FireDataForge turns one MTBS fire ID into a stack of harmonized, analysis-ready geospatial layers (perimeters, FRP, terrain, fuels, weather, and more) from many sources.

pyroengine

Wildfire detection on edge devices

pyrovision

Computer vision library for wildfire detection 🌲 Deep learning models in PyTorch & ONNX for inference on edge devices (e.g. Raspberry Pi)

cfo

Python wrappers for accessing Forest Observatory data via the Salo API

pyronear

Computer vision library for wildfire detection 🌲 Deep learning models in PyTorch & ONNX for inference on edge devices (e.g. Raspberry Pi)