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Evaluate structured LLM outputs with precision. Compare model outputs against expected schemas and values — row by row.

4 starsTypeScript

EvalLens – Open-source tool to evaluate structured LLM outputs

by simonrendon·Apr 6, 2026·1 point·0 comments
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AI Analysis

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Schema conformance checks beat generic text evals for JSON-heavy LLM pipelines.

Strengths
  • •Failure taxonomy explains why structured outputs broke instead of just binary pass/fail.
  • •Self-hosted mode generates actuals via API keys without sending data externally.
  • •Exports branded PDF reports for sharing regression testing results with stakeholders.
Weaknesses
  • •Zero GitHub stars suggests very early stage with unproven community traction.
  • •Hosted version requires uploading sensitive prompt/output data to external servers.
Category
AI/ML
Target Audience

AI engineers building structured output pipelines

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