🔬 Free, local-first experiment tracking for ML researchers 🤝 Drop-in replacement for wandb | Built by @huggingface 📊 Track, visualize & share your training

TrackioApp retweeted
i gave astra a robot, a paint brush, and a camera then asked it to paint the golden gate bridge in real life! it figured out how to control the robot, and progressively got better throughout its attempts. the timelapse is sick
This is GPT-6 Astra. Anything you can do on a computer, Astra can do for you. Fast.
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Trackio's frontend is completely open-source and you are totally welcome to recreate your own. We think that there should be a <VIBE WALL> between a frontend that you can totally customize to your liking and a backend that is robust, performant, and secure!
I’ve honestly found that Trackio’s been meeting most of my needs. They had some annoying bugs that I think have been ironed out in newer versions. Tho one thing on my todo has been having Codex rewrite the dashboard to more my liking
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TrackioApp retweeted
From there, ML Intern can create repos, generate datasets, train models and monitor progress as jobs run. Every training run gets a @TrackioApp dashboard so you can follow along.
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If you know @evilpingwin you know that everything he builds is meticulously designed. And this is no exception. pro tip: try the "metrics" button 😉
You shouldn’t need to be an ML expert to have an ML idea. Today we’re launching ML Intern in HuggingChat. Start with a conversation. Finish with deployable artefacts.
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TrackioApp retweeted
We just released trackio 0.36, which supports logging a new data type! Can you tell what we added?
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TrackioApp retweeted
We are super excited to release Trackio Logbooks: the perfect way to capture all of your AI experiments as an optimized static html bundle 🔥 Upgrade to Trackio 0.34.0 and start recording your code, agent traces, and artifacts automatically (and reproducibly)! Docs: github.com/gradio-app/tracki…
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TrackioApp retweeted
I'm very excited to share that @nvidia just released Nemotron-3-Embed: two multilingual embedding models for retrieval The 8B takes the top spot on RTEB. - Nemotron-3-Embed-1B-BF16 (2048-dim) - Nemotron-3-Embed-8B-BF16 (4096-dim) Both OpenMDW-1.1, ready for commercial use. 🧵
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TrackioApp retweeted
Join the ICML reproduction 2026 challenge leaderboard for a chance to win up to $4k in GPU credits and prizes: huggingface.co/spaces/ICML-2…
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TrackioApp retweeted
70% of AI papers aren’t reproducible. With ICML 2026 happening last week, a lot of incredible research is dropping, but how much of it is actually real and reproducible? With @askalphaxiv, we are hosting a community challenge to find out. Pick an ICML paper, deploy an agent, and help build a massive library of open artifacts. Up to $4k in GPU credits for the best reproductions! Learn more here: huggingface.co/spaces/ICML-2…
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TrackioApp retweeted
TruffleHog now supports scanning secrets in @huggingface Storage Buckets. As AI agents increasingly crawl code, datasets, and storage, preventing leaked credentials is becoming more important than ever. Great collab with the @trufflesecurity team! 🙌
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Day 1 of the ICML 2026 Reproduction, and the community has already reproduced more than 300 cutting-edge AI papers. Join with your agents, caution: it's kind of addictive 👉 huggingface.co/spaces/ICML-2…
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TrackioApp retweeted
Lots of reproductions happening already! Join the effort (and bring your agents): huggingface.co/spaces/ICML-2…
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AI agents are reproducing ICML 2026. All of it. 73 papers reproduced on day 1. 6,768 to go. Free GPU compute, serverless inference for GLM-5.2 / Kimi / DeepSeek, $20 credit for the first 750 participants, $4,000 for the best reproductions. huggingface.co/spaces/ICML-2…
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TrackioApp retweeted
🚀 Trackio Artifacts is officially LIVE! 📦🔥 The #1 most requested feature by the Trackio community is finally here: Full support for logging versioned Artifacts (datasets, models, arbitrary files, or binary blobs). If you’ve been looking for a seamless, lightweight way to manage your ML assets without the bloat, this is it. Best of all? We designed it with a zero-friction migration path. It’s the exact same API signature you already know and love from wandb, making it a literal drop-in replacement:
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TrackioApp retweeted
We're open-sourcing a new benchmark on @huggingface: IFStruct The goal is to measure output validity and schema following across diverse prompts. We also detail how we generated it and the design choices behind it in our blog post.
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TrackioApp retweeted
Use Trackio.
Happy to release the latest version of @TrackioApp which includes Brotli compression and other nice features which makes your dashboard a lot snappier! I recommend upgrading, especially if you have a lot of runs! pip install --upgrade trackio
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Check it out! 👉 trackio-laboratory.hf.space/
Introducing: Trackio Laboratory A single URL (trackio-laboratory.hf.space/) to view all of your machine learning experiments and their metrics -- for free on 🤗's compute. No reason to use a paid experiment tracking library anymore!
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TrackioApp retweeted
I didn't realize this was a feature - great idea
A study from @Stanford showed that 71.3% of chatgpt queries could be accurately answered by a local model. I suspect a major part of enterprise AI workloads could be run locally too for free (compared to the massive costs of frontier API cost). Also, it reduces the risk of these workloads being taken away from you because you own the models instead of renting them - which sounds like a good idea these days haha. That's why we're introducing the ability for everyone to filter AI models on @huggingface based on your local hardware. For me, there are 800k+ public models that fit on my M5 24GB and that I can use easily thanks to llamacpp. Let's go local AI!
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