hahnyuan/LLM-Viewer

• highreadme#1

  Reposition the README's opening to differentiate from generic profilers

  原因：

  当前

  # LLM-Viewer
  
  LLM-Viewer is a tool for visualizing Language and Learning Models (LLMs) and analyzing the performance on different hardware platforms. It enables network-wise analysis, considering factors such as peak memory consumption and total inference time cost. With LLM-Viewer, you can gain valuable insights into LLM inference and performance optimization.

  复制粘贴的修复

  复制

  # LLM-Viewer: LLM Inference Visualization & Performance Analysis
  
  LLM-Viewer is a dedicated, user-friendly tool for visualizing and analyzing the inference performance of Large Language Models (LLMs) on various hardware platforms. It offers deep, LLM-specific insights into computation, memory, and hardware roofline models, providing a higher-level perspective than generic system profilers.

  待办完成忽略
• mediumhomepage#2

  Add the project's homepage URL

  原因：

  复制粘贴的修复

  复制

  Add the correct URL for the LLM-Viewer web interface (e.g., `https://your-project-url.com`)

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How can I visualize and analyze the performance of large language models on various hardware?

  你：未被推荐
  AI 推荐顺序：

  1. NVIDIA Nsight Systems
  2. Nsight Compute
  3. TensorBoard
  4. TensorFlow Profiler
  5. PyTorch Profiler
  6. Weights & Biases
  7. Prometheus
  8. Grafana
  9. Intel VTune Profiler
  10. DeepSpeed
  11. Megatron-LM

  AI 推荐了 11 个替代方案，却始终没点名 hahnyuan/LLM-Viewer。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Tools for deep diving into LLM inference bottlenecks like memory and computation costs?

  你：未被推荐
  AI 推荐顺序：

  1. NVIDIA Nsight Systems
  2. PyTorch Profiler
  3. DeepSpeed
  4. Intel VTune Profiler
  5. TensorRT
  6. torch.cuda.memory_allocated()
  7. htop
  8. nvidia-smi

  AI 推荐了 8 个替代方案，却始终没点名 hahnyuan/LLM-Viewer。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of hahnyuan/LLM-Viewer?

  pass
  ✓AI 明确点名了 hahnyuan/LLM-Viewer

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts hahnyuan/LLM-Viewer in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 hahnyuan/LLM-Viewer

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo hahnyuan/LLM-Viewer solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 hahnyuan/LLM-Viewer

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？