LLM Eval Viewer

中文文档

This project was built entirely with AI assistance (Baidu Comate IDE + Claude Opus 4.6).

LLM Eval Viewer is a lightweight web tool for visualizing LLM evaluation results.
Currently supports result formats generated by evalscope.

Live Demo:
https://dynamicheart.github.io/llm-eval-viewer/

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Features

• Multi-format support: Evalscope Predictions / Reviews evaluation results
• Directory browsing: Select a directory to auto-scan its structure, quickly switch between experiments and datasets (Chrome/Edge)
• Statistics & distribution: Token histogram, result/finish-reason distribution, per-dataset accuracy — all interactive with click-to-filter
• Reasoning support: Displays reasoning content marked as [R], view Text and Reasoning separately
• Dark mode: Light / Dark / Auto theme with system preference detection
• cURL export: Generate cURL commands from request details for quick API replay
• i18n: English and Chinese language support

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Example Files (evalscope)

You can use the following example files for local or online experience:

• Predictions

  • math_500_level_1_predictions.jsonl

• Reviews

  • math_500_level_1_reviews.jsonl

• Predictions (with reasoning)

  • humaneval_predictions_with_reasoning.jsonl

• Reviews (with reasoning)

  • humaneval_reviews_with_reasoning.jsonl

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Screenshots

Reviews View (Dark Mode)

Predictions View (Light Mode)

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Development

cd llm-eval-viewer
npm install
npm run dev

Build

npm run build

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Built with AI

This project was developed entirely through AI-assisted programming using Baidu Comate IDE with Claude Opus 4.6 as the agent model. From architecture design to implementation, all code was generated and iterated via human-AI collaboration.

License

MIT