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Hugging Face (Twitter) RT @abidlabs: Why did we build yet another experiment tracking library? We built @TrackioApp because experiment tracking shouldn’t be complicated. Most tools are cloud-heavy, bloated, or hard to customize. Trackio is different: it’s lightweight, local-first, and free. Run it on your machine, store logs in SQLite, visualize experiments instantly with a clean dashboard, or deploy online if you want. Embed dashboards anywhere, from blogs to internal docs. The API mirrors popular logging libraries, so you can switch without rewriting your code. At under 5,000 lines of Python, Trackio is small, open-source, and designed for extensibility. Fork it, tweak it, add what matters to you. No limits, no lock-in, just fast, flexible experiment tracking for ML developers who want control. Give it a star ⭐: