PyPI Stats
  • Insights
  • PyPI
  • GitHub
  • Search
  • Compare
  • Advisories
  • Ecosystem
  • About
Home

Explainable Ai Python Packages

Python packages with the GitHub topic explainable-ai. Sorted by relevance, with stars and monthly downloads.
interpretml
interpret-core

Fit interpretable models. Explain blackbox machine learning.

955K 7K 783
obss
sahi

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

495K 5K 745
interpretml
interpret

Fit interpretable models. Explain blackbox machine learning.

398K 7K 783
ottenbreit-data-science
aplr

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.

228K 23 5
polyaxon
traceml

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

139K 530 47
mouradmourafiq
pandas-summary

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

111K 530 47
polyaxon
datatile

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

111K 530 47
jacobgil
grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

82K 13K 2K
microsoft
raiutils

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

72K 2K 476
csinva
imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

52K 2K 138
interpretml
dice-ml

Generate Diverse Counterfactual Explanations for any machine learning model.

47K 2K 228
ModelOriented
dalex

moDel Agnostic Language for Exploration and eXplanation

37K 1K 170
linkedin
fasttreeshap

Fast SHAP value computation for interpreting tree-based models

30K 555 38
mmschlk
shapiq

Shapley Interactions and Shapley Values for Machine Learning

27K 722 58
microsoft
erroranalysis

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

26K 2K 476
microsoft
responsibleai

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

21K 2K 476
microsoft
raiwidgets

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

9K 2K 476
keisen
tf-keras-vis

Neural network visualization toolkit for tf.keras

9K 338 47
BCG-X-Official
gamma-facet

Human-explainable AI.

7K 532 46
11301858
xaisuite

XAISuite: Train machine learning models, generate explanations, and compare different explanation systems with just a simple line of code.

5K 7 1
chr5tphr
zennit

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

5K 243 35
sametcopur
obliquetree

obliquetree is an advanced decision tree implementation featuring oblique and axis-aligned splits, optimized performance.

4K 24 4
sametcopur
ruleopt

Optimization-Based Rule Learning for Classification

3K 49 1
holistic-ai
holisticai

This is an open-source tool to assess and improve the trustworthiness of AI systems.

3K 106 31
    • Data from PyPI, GitHub, ClickHouse, and BigQuery