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Welcome to `trackio`: a lightweight, <u>free</u> experiment tracking Python library built by Hugging Face 🤗. It is local-first, supports very high logging throughputs for many parallel experiments, and provides an easy CLI interface for querying, perfect for LLM-driven experimenting.
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Trackio also ships with a Gradio-based dashboard you can use to view metrics locally:
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For human users, Trackio also ships with a Gradio-based dashboard you can use to view metrics, media, tables, alerts, etc:
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![Screen Recording 2025-11-06 at 5 34 50 PM](https://github.com/user-attachments/assets/8c9c1b96-f17a-401c-83a4-26ac754f89c7)
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- Visualize experiments with a Gradio dashboard locally (or, if you provide a `space_id`, on Hugging Face Spaces)
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- **LLM-friendly**: Built with autonomous ML experiments in mind, Trackio includes a CLI for programmatic access and a Python API for run management, making it easy for LLMs to log metrics and query experiment data.
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- Everything here, including hosting on Hugging Face, is **free**!
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- **Free**: Everything here, including hosting on Hugging Face, is free!
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Trackio is designed to be lightweight and extensible. It is written entirely in Python so that developers can easily fork the repository and add functionality that they care about.
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Trackio is designed to be lightweight and _forkable_. It is written almost entirely in Python so that developers can easily fork the repository and add functionality that they care about.
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## Installation
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