S

SHAPash

Open Source
Explainability and Fairness Updated Feb 15, 2026
Get Started →
Compared with 13 other Explainability and Fairness agents Open source Self-hostable Updated Feb 2026
💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Free to use under an open-source license.

🎯 Use Cases

Explaining credit scoring models to loan applicants Debugging bias in hiring recommendation systems Presenting fraud detection model logic to compliance teams Educating non-technical stakeholders about model behavior Validating feature importance in clinical prediction models

⚖️ Pros & Cons

✅ Pros

  • Produces clearer explanations than raw SHAP outputs
  • Web app interface allows interactive exploration
  • Supports multiple model types and use cases
  • Lightweight integration with existing ML workflows

❌ Cons

  • Limited customization options for visualizations
  • Primarily designed for tabular data
  • Requires some SHAP knowledge for advanced use
  • Web app may not scale for very large datasets

Overview

SHAPash is a Python library that simplifies the interpretation of machine learning models by generating interactive visualizations of SHAP (SHapley Additive exPlanations) values. It provides clear, user-friendly outputs to help explain model predictions to non-technical stakeholders.

Problem It Solves

It bridges the gap between complex model explanations and actionable insights by presenting SHAP values in an intuitive, visually accessible format.

Target Audience: Developers and teams working with explainability and fairness automation.

Inputs

  • • User configuration
  • • API credentials (if required)
  • • Task parameters

Outputs

  • • Automated task results
  • • Status reports
  • • Generated content or actions

Example Workflow

  1. 1 User configures the agent with required parameters
  2. 2 Agent receives input data or trigger
  3. 3 Agent processes the request using its core logic
  4. 4 Agent interacts with external services if needed
  5. 5 Results are returned to the user

Sample System Prompt 


              You are SHAPash, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

LLM APIs Python

Alternatives

See all Explainability and Fairness alternatives to SHAPash →

🔗Related AI Agents

A
AequitasExplainability and Fairness
A
AI Explainability 360Explainability and Fairness
A
AI Fairness 360Explainability and Fairness
A
AlibiExplainability and Fairness
c
captumExplainability and Fairness
F
FairlearnExplainability and Fairness

FAQs

Is this agent open-source?
Yes
Can this agent be self-hosted?
Yes
What skill level is required?
Intermediate

Rate This Agent

Loading...

Your rating:

Reviews

Loading reviews...

Write a Review

0 / 500

Ready to try this agent?

SHAPash

Write a Review ★ Visit SHAPash →