Trackio #2978

abidlabs · 2025-07-17T21:44:27Z

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trackio.md

_blog.yml

trackio.md

Co-authored-by: Nouamane Tazi <[email protected]>

trackio.md

merveenoyan

love this! will we have this in model repos or is it going to be Spaces attached to model repos? 👀 i.e. when you push a model to Hub it spawns a Space with logs attached to model repo @abidlabs @julien-c
I think it would be nice to mention if we have even more plans

added a point about energy/transparency ⚡

…ization and integration examples

Co-authored-by: Quentin Gallouédec <[email protected]>

abidlabs · 2025-07-29T01:15:41Z

Thanks @merveenoyan! Yes, that is something we are considering (and @Saba9 has a PR to that effect in Trackio: gradio-app/trackio#90). I added a "Next Steps" section in the blog post, but kept it pretty open-ended since we don't know exactly where the project will go.

Would we be able to get a ✅ so that we can publish this tomorrow?

trackio.md

Co-authored-by: Pedro Cuenca <[email protected]>

Vaibhavs10

was passing by, looks great - left some suggestions (but feel free to ignore them if you're pressed with time)

Vaibhavs10 · 2025-07-29T13:40:10Z

trackio.md

+If you have trained your own machine learning model, you know how important it is to be able to track metrics, parameters, and hyperparameters during training and visualize them afterwards to better understand your training run.
+
+Most machine learning researchers use specific experiment tracking libraries to do this. However, these libraries can be paid, require complex setup, or lack the flexibility needed for rapid experimentation and sharing.
+


it might be worth adding a visual of how trackio looks on a space and play with it here (so that people can get a feel for it)

or even a really small developer focused TL;DR here would be great

+1 to @Vaibhavs10's visual idea 🤗

trackio.md

Vaibhavs10 · 2025-07-29T13:45:38Z

trackio.md

+
+## Next Steps
+
+Trackio is intentionally lightweight and is currently in beta. Some features found in other tracking tools, such as artifact management, or complex visualizations, are not available yet. If you'd like to have these features, please create issues here: https://github.com/gradio-app/trackio/issues


it might make sense to create a Hub discussion for people to showcase how they are using it?

great idea!

sashavor

A few minor comments (mostly piggybacking off of @Vaibhavs10's ideas 😅) but otherwise LGTM!

sashavor · 2025-07-29T14:38:10Z

trackio.md

+If you have trained your own machine learning model, you know how important it is to be able to track metrics, parameters, and hyperparameters during training and visualize them afterwards to better understand your training run.
+
+Most machine learning researchers use specific experiment tracking libraries to do this. However, these libraries can be paid, require complex setup, or lack the flexibility needed for rapid experimentation and sharing.
+


+1 to @Vaibhavs10's visual idea 🤗

sashavor · 2025-07-29T14:41:07Z

trackio.md

+
+## Using Trackio
+
+Ok then, so what is Trackio and how do you use it? Trackio is an [open-source Python library](https://github.com/gradio-app/trackio) that lets you track any metrics and visualize them using a local [Gradio](https://gradio.dev/) dashboard. You can also sync this dashboard to Hugging Face Spaces, which means you can then share the dashboard with other users simply by sharing a URL. Since Spaces can be private or public, this means you can share a dashboard publicly or just within members of your Hugging Face organization.


I would put (some version) of this as the TL;DR at the top of the blog post, as per @Vaibhavs10's comment above!

sashavor · 2025-07-29T14:44:35Z

trackio.md

+
+## Next Steps
+
+Trackio is intentionally lightweight and is currently in beta. Some features found in other tracking tools, such as artifact management, or complex visualizations, are not available yet. If you'd like to have these features, please create issues here: https://github.com/gradio-app/trackio/issues


great idea!

abidlabs · 2025-07-29T15:45:08Z

Thanks @Vaibhavs10 @sashavor and all! I’m going to merge this in so that we can start doing comms. I’ll open a follow up PR to add those sections

abidlabs · 2025-07-29T18:16:28Z

Added a tldr section here: #3001

abidlabs added 3 commits July 17, 2025 14:31

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…ization and integration examples

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Co-authored-by: Quentin Gallouédec <[email protected]>

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		If you have trained your own machine learning model, you know how important it is to be able to track metrics, parameters, and hyperparameters during training and visualize them afterwards to better understand your training run.

		Most machine learning researchers use specific experiment tracking libraries to do this. However, these libraries can be paid, require complex setup, or lack the flexibility needed for rapid experimentation and sharing.


		## Next Steps

		Trackio is intentionally lightweight and is currently in beta. Some features found in other tracking tools, such as artifact management, or complex visualizations, are not available yet. If you'd like to have these features, please create issues here: https://github.com/gradio-app/trackio/issues


		## Using Trackio

		Ok then, so what is Trackio and how do you use it? Trackio is an [open-source Python library](https://github.com/gradio-app/trackio) that lets you track any metrics and visualize them using a local [Gradio](https://gradio.dev/) dashboard. You can also sync this dashboard to Hugging Face Spaces, which means you can then share the dashboard with other users simply by sharing a URL. Since Spaces can be private or public, this means you can share a dashboard publicly or just within members of your Hugging Face organization.

Trackio #2978

Trackio #2978

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