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MigoXLab/dingo

Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool

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Python Apache-2.0Created Dec 24, 2024

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Overview

A Python-based toolset for evaluating the quality of data, models, and applications in AI. It targets areas like data validation, hallucination detection, and model evaluation through multi-agent systems.

Capability facts

Languages
python

Source: github.language · Jul 12, 2026

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README

Future Plans

  • Agent-as-a-Judge - Multi-agent debate patterns for bias reduction and complex reasoning
  • SaaS Platform - Hosted evaluation service with API access and dashboard
  • Audio & Video Modalities - Extend beyond text/image
  • Diversity Metrics - Statistical diversity assessment
  • Real-time Monitoring - Continuous quality checks in production pipelines

License

This project uses the Apache 2.0 Open Source License.

This project uses fasttext for some functionality including language detection. fasttext is licensed under the MIT License, which is compatible with our Apache 2.0 license and provides flexibility for various usage scenarios.