Trackio

trackio is a lightweight, free experiment tracking Python library built on top of Hugging Face Buckets and Spaces 🤗.

• API compatible with wandb.init, wandb.log, and wandb.finish. Drop-in replacement: just

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  import trackio as wandb

• Local-first design: dashboard runs locally by default. You can also log to a Hugging Face Space (space_id) for free or to a self-hosted Trackio server (server_url)

• Persists logs locally, in a Hugging Face Bucket when using Spaces, or on the machine hosting your self-hosted server. (Persisting to a Hugging Face Dataset via dataset_id / TRACKIO_DATASET_ID is deprecated and will be removed in a future version; use a Bucket via bucket_id / TRACKIO_BUCKET_ID instead.)

• Visualize experiments with a Gradio dashboard locally, on Hugging Face Spaces, or on your own host when self-hosting

• LLM-friendly: Designed for autonomous ML experiments with CLI commands and Python APIs that enable LLMs to easily log and query experiment data.

• Everything here, including hosting on Hugging Face, is free!

Trackio is designed to be lightweight (the core codebase is <3,000 lines of Python code), not fully-featured. It is designed in an extensible way and written entirely in Python so that developers can easily fork the repository and add functionality that they care about.

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