Show HN: Comet Panels – Custom visualizations for your ML experiments

comet.ml

16 points·gidim··3 comments

Hi HN! Really excited to share this with with those of you training ML models. Comet Panels is an easy and free way to build visualizations, widgets and apps in HTML/JS/CSS on top of your ML experiment data and a gallery where you can share your work with the world.

Panels is built on our experiment management platform (100% free for individuals). Essentially as a user you can report all of your metrics, params, assets, data samples etc. Everything stored is also accessible via our JS SDK so it's really easy to fetch data for your panels.

The main idea is that visualizations aren't stale. Every time a new experiments is reported your visualization will update with that additional data.

Docs available here: https://www.comet.ml/docs/javascript-sdk/getting-started/

Blogpost with more information: https://www.comet.ml/site/introducing-panels-custom-visualiz...

Is it like Streamlit with Gallery?

Streamlit is awesome but solves a different use case. There's definitely similarities but also a few core differences. 1. Comet Panels reads the experimentation data from our API/Database. Streamlit is much more like Jupyter notebooks where you'd have to setup your own data store and implement logic to update it with new experiment data. This also means that if you pull a visualization from the gallery it should work out of the box as the API is standard among everyone! 2. Comet Panels is freely hosted so no need to setup a webserver 3. Comet Panels is natively written in JS/HTML/CSS so you can use any JS library out of the box. Streamlit is written in Python and you might be limited to the built in UI components (or you can build a custom on which is also in JS/HTML/CSS)

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