Dingo

Comprehensive data quality evaluation tool with 70+ metrics, multi-source support, and hybrid rule-LLM assessment

• +Provides production-ready architecture with multi-field evaluation and stream processing for large datasets
• +Offers extensive metric library covering pretrain, SFT, RAG, hallucination detection, and multimodal quality
• +Supports multiple data sources (SQL, HuggingFace, S3, local) with flexible execution modes and GUI visualization
• -Declared permissions are broad without clear justification for shell execution and write access scope
• -Documentation focuses heavily on capabilities but lacks concrete examples of security validation and error handling