Xai Python Packages

interpret-core

Fit interpretable models. Explain blackbox machine learning.

interpret

Fit interpretable models. Explain blackbox machine learning.

grad-cam

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

dice-ml

Generate Diverse Counterfactual Explanations for any machine learning model.

dalex

moDel Agnostic Language for Exploration and eXplanation

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

alibi

Algorithms for explaining machine learning models

agentmake

AgentMake AI: a kit for developing agentic AI applications that support 24 AI backends and and work with 7 agentic components, such as tools and agents. (Developer: Eliran Wong) Supported backends: anthropic, azure, azure_any, cohere, custom, deepseek, genai, github, github_any, googleai, groq, llamacpp, mistral, ollama, openai, vertexai, xai

pyxai

PyXAI (Python eXplainable AI) is a Python library (version 3.6 or later) allowing to bring formal explanations suited to (regression or classification) tree-based ML models (Decision Trees, Random Forests, Boosted Trees, ...).

bnnr

XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.

chibi-bot

Your Digital Companion. Self-hosted Telegram bot orchestrating multiple AI providers (OpenAI, Anthropic, Google, xAI, DeepSeek, Mistral, Alibaba, MiniMax) with autonomous agent capabilities, MCP integrations, and async task execution. Not a tool. A partner.

tf-keras-vis

Neural network visualization toolkit for tf.keras

zennit

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

effector

Effector - a Python package for global and regional effect methods

toolmate

ToolMate AI, developed by Eliran Wong, is a cutting-edge AI companion that seamlessly integrates agents, tools, and plugins to excel in conversations, generative work, and task execution. Supports custom workflow and plugins to automate multi-step actions.

imodelsx

Interpret text data with LLMs (sklearn compatible).

openvino-xai

OpenVINO™ Explainable AI (XAI) Toolkit: Visual Explanation for OpenVINO Models

interpreto

🪄 Interpreto is an interpretability toolbox for LLMs

aix360

Interpretability and explainability of data and machine learning models

quantus

[JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

voxkage

VoxKage - OS-level Agentic AI Assistant. Autonomous, Persistent, Aware.

pytorch-concepts

PyC (Pytorch Concepts) is a PyTorch-based library for training concept-based interpretable deep learning models.

aime-xai

AIME (Approximate Inverse Model Explanations) — inverse-operator XAI with publication-grade visualisations and an inverse-explanation evaluation suite.

toolmate-lite

ToolMate AI, developed by Eliran Wong, is a cutting-edge AI companion that seamlessly integrates agents, tools, and plugins to excel in conversations, generative work, and task execution. Supports custom workflow and plugins to automate multi-step actions.