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A GPU reporting 100% utilization may actually be computing useful work, or wastefully stalled waiting on memory transfers, thermal throttling, or power limits. NVSonar analyzes real-time patterns from NVML metrics to identify what's actually limiting your GPU performance.\n\n![nvsonar demo](https://raw.githubusercontent.com/btursunbayev/nvsonar/main/docs/demo.gif)\n\n## Features\n\n- **Diagnostics:** bottleneck classification (compute, memory, power, thermal, data-starved), temporal pattern detection (clock oscillation, temperature trends, utilization dips, memory leaks)\n- **Multi-GPU:** outlier detection via Z-scores, flags the GPU slowing down distributed training\n- **Health scoring:** 0-100 per GPU with A-F grades, actionable recommendations with specific commands\n- **Benchmarks:** memory bandwidth, compute throughput, PCIe speed vs theoretical specs\n- **History:** tracks GPU health over time, detects degradation trends\n- **Python API:** session monitoring during training (`nvsonar.start()`, `nvsonar.stop()`)\n- **Output:** terminal report, JSON, CSV\n\n## Requirements\n\n- Python 3.10+\n- NVIDIA GPU with driver installed\n- Linux\n- CUDA toolkit (only for `nvsonar benchmark`, not required for other commands)\n\n## Installation and Usage\n\n```bash\npip install nvsonar\n```\n\n```bash\nnvsonar                  # interactive TUI\nnvsonar report           # one-shot diagnostic\nnvsonar report --json    # structured output for scripts/LLMs\nnvsonar report --csv     # CSV output for spreadsheets\nnvsonar report --gpu 0   # specific GPU\nnvsonar benchmark        # GPU performance benchmarks\nnvsonar history          # health trends over time\n```\n\n## Documentation\n\n- [Architecture](docs/ARCHITECTURE.md)\n- [Contributing](CONTRIBUTING.md)\n- [Changelog](CHANGELOG.md)\n\n## License\n\nApache License 2.0\n\n## Author\n\n[Bekmukhamed Tursunbayev](https://btursunbayev.com)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbtursunbayev%2Fnvsonar","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbtursunbayev%2Fnvsonar","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbtursunbayev%2Fnvsonar/lists"}