Individual skill
hugging-face-trackio
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.
backend/cli/skills/other/hugging-face-trackio/SKILL.md
Source commit a08e0ad0ad3d6448123039ee4659163eb2e35d99
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- Last checked
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- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: claude-code
- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
- research Repository topic
- science Repository topic
- ai-agent Repository topic
- hugging-face Declared skill tag
- experiment-tracking Declared skill tag
- logging Declared skill tag
- metrics Declared skill tag
- data Derived category
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.claude-plugin/plugin.jsonasset · 694 bytesSKILL.mdcore · 2,702 bytesSKILL.mdcore · 2,702 bytesSKILL.mdcore · 2,702 bytesreferences/logging_metrics.mddoc · 4,853 bytesreferences/retrieving_metrics.mddoc · 6,725 bytes
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# Trackio - Experiment Tracking for ML Training
Trackio is an experiment tracking library for logging and visualizing ML training metrics. It syncs to Hugging Face Spaces for real-time monitoring dashboards.
## Two Interfaces
| Task | Interface | Reference |
|------|-----------|-----------|
| **Logging metrics** during training | Python API | [references/logging_metrics.md](references/logging_metrics.md) |
| **Retrieving metrics** after/during training | CLI | [references/retrieving_metrics.md](references/retrieving_metrics.md) |
## When to Use Each
### Python API → Logging