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WhatIf

Open Source
Explainability and Fairness Updated Feb 15, 2026
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

Pricing not publicly listed.

🎯 Use Cases

Analyzing model performance across different demographic groups Testing how changes in input data affect model predictions Identifying potential biases in classification models Debugging misclassifications by exploring counterfactuals Comparing model behavior on different data slices

⚖️ Pros & Cons

✅ Pros

  • Intuitive visual interface for model exploration
  • Supports fairness metrics and bias detection
  • Works with TensorFlow models without requiring code changes

❌ Cons

  • Primarily designed for TensorFlow (limited framework support)
  • Requires some technical expertise to interpret results
  • Limited to classification and regression tasks

Overview

WhatIf is an interactive visualization tool designed to analyze machine learning models, enabling users to explore model behavior, test hypothetical scenarios, and evaluate fairness metrics. It integrates with TensorFlow models and datasets to provide insights into model predictions and potential biases.

Problem It Solves

It helps users understand and debug black-box ML models by visualizing predictions, comparing subsets of data, and assessing fairness across different groups.

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 WhatIf, an AI assistant. Help the user accomplish their task efficiently.

            

Tools & Technologies

LLM APIs Python

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FAQs

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

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WhatIf