The best SHAP alternatives
5 tools that do a similar job to SHAP, 5 of them open source. Each entry says what it does and who it suits, so you can pick the one that fits instead of the most famous.
You're replacing
SHAPA Python library that shows how much each input feature pushed a machine learning model's prediction up or dow
- 1
LightGBM
Open source · MIT · ★ 18.9k
A fast gradient boosting library for tree-based machine learning on tabular data.
Best for: Data scientists working with tabular data who want a fast gradient boosting tool; Teams training models on large datasets that may need distributed or GPU training
- 2
pytorch-grad-cam
Open source · MIT · ★ 13k
Python library that shows which parts of an image a computer vision model looked at to make its prediction.
Best for: Researchers comparing explainability methods for image models; Engineers debugging CNN or Vision Transformer classifiers in PyTorch
- 3
imgaug
Open source · MIT · ★ 14.7k
Python library that creates many slightly altered copies of training images for machine learning.
Best for: Machine learning engineers training image models on a limited dataset; Researchers who need augmentations that keep labels such as bounding boxes or keypoints aligned
- 4
pandas-profiling
Open source · MIT · ★ 13.7k
Generates a one-line data quality and exploratory analysis report for pandas and Spark DataFrames.
Best for: Analysts who want a quick first look at an unfamiliar dataset; Data scientists checking data quality before modeling
- 5
Weights & Biases
Open source · MIT · ★ 11.3k
Python library to track, visualize, and manage machine learning experiments and models.
Best for: Machine learning engineers who want to compare training runs over time; Researchers tuning hyperparameters across many experiments
How we pick: tools in the same category that solve the same problem, projects that name each other as alternatives, and open-source projects that describe themselves as an alternative to SHAP. We don't take payment for placement.