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huggingface-trackio

Official

Track ML training metrics across platforms.

Data & Analytics#dashboards#metrics#alerts#ml#space#experiment-tracking#hugging-face
AuthorLAF-US
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Track ML training experiments and metrics across Python, CLI, and remote Spaces, enabling centralized monitoring, alerting, and automation.

Core Features & Use Cases

  • Logging metrics during training with a Python API
  • Firing diagnostics alerts via trackio.alert() and webhooks
  • Retrieving metrics, snapshots, and run summaries via the CLI
  • Syncing dashboards to Hugging Face Spaces for persistent visualization

Quick Start

Initialize trackio with a project and space_id, then log a few metrics to demonstrate the workflow.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: huggingface-trackio
Download link: https://github.com/LAF-US/IDAHO-VAULT/archive/main.zip#huggingface-trackio

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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