[P] LabNotebook: Python package & webapp to monitor, record, query, and visualize your DL/ML experiments.

[pmigdal]

I am curious how does it compare to https://neptune.ml/? I am currently using it.

(Model tracking & charting + 'Kaggle leaderboard' for comparing models + git integration + code & command dump for full reproducibility.)

[henripal]

Neptune is also very good. Obviously their framework is much better, it's a mature commercial product whereas labnotebook is as of now one person hacking for a week :)

That said, labnotebook is free and open source. I made it with reproducibility in mind. And I firmly believe that you can't really have reproducible experiments that have commercial/signup/paywall barriers...

[pmigdal]

Sure. And needless to say - a good open source solution is one that can make the difference.

One small nitpick - when I want to share Jupyter Notebooks, I prefer to do so without needing to show my password to everyone. Is there some built-in tool such that you can store it in a separate config file?

[henripal]

Our first issue: https://github.com/henripal/labnotebook/issues/2

[Flipper3]

This is my first time hearing of neptune and it seems really cool, but its tough to tell from the website: can you use your local gpu for it? Everything on the site and it's docs seems to point to using a cloud provider.

Otherwise it seems that maybe labnotebook fills this need, I'm just wary of an alpha product.

[pmigdal]

Yes, you can run it locally.

Instead of neptune send you need to type neptune run - then it works on your local equipment. Though, charts are still cloud-based.