valevalerio/saliencytools

Saliency Metrics is a Python package that implements various metrics for comparing saliency maps generated by explanation methods.

/ 100

Emerging

Available on PyPI.

No Dependents

Maintenance 6 / 25

Adoption 8 / 25

Maturity 18 / 25

Community 0 / 25

Stars

Forks

—

Language

Jupyter Notebook

License

MIT

Category

Last pushed

Dec 12, 2025

Monthly downloads

117

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/valevalerio/saliencytools"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

obss/sahi

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

MAIF/shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent...

understandable-machine-intelligence-lab/Quantus

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

SeldonIO/alibi

Algorithms for explaining machine learning models

interpretml/interpret

Fit interpretable models. Explain blackbox machine learning.