Much easier than tensorboard. Way easier to get started and then a lot more functionality once you're more experienced.

Easy monitoring of gpu use.

Very easy to compare runs.

Easy to upload tables and images.

Also easy to compare just the runs you want and to save working experiments in a nice format (reports) Review collected by and hosted on G2.com.

The only downsides which I hope will be fixed at some point is you don't have an easy way of deleting just one run.

Would be nice if you could restart a run from the step you left it at as well.

But in the day to day use they're pretty minor and the positives outweigh the downsides. Review collected by and hosted on G2.com.

This tool is perfect for logging information from programs, especially during training. It allows you to see how your model is training from anywhere in the world. I like how you can just dump some raw data onto the platform, and then you can make your graphs and manipulate the data separately from your training loop. Review collected by and hosted on G2.com.

Some features are missing but I am sure they would come if I did a feature request. Review collected by and hosted on G2.com.

Easy to plug in and use. Works well with PyTorch and lightning and easy to compare models when away from local network. Review collected by and hosted on G2.com.

Can slow down training speed and there are some minor bugs sometimes when using on a less well supported device/framework. Mobile UI also slow. Review collected by and hosted on G2.com.

Easy to use, already incorported into major libraries, but still powerful. Review collected by and hosted on G2.com.

The only thing I wish was different is pricing per "tracked hour". For my workflow, this number seems very inflated - I have a few powerful GPUs, and run multiple experiments at a time on each one. This results in "tracked hours" of many multiples of realtime, for each GPU, which doesn't seem right. This is OK for me now as an academic, on the personal plan with unlimited tracked hours, but discourages me from using this for commercial projects in the future, where cost would quickly become prohibitive. Review collected by and hosted on G2.com.

I first learned about w&b 5 years ago in high school, and used it for a few projects. I now use it every day and have convinced several colleagues in and out of the lab to use w&b. Review collected by and hosted on G2.com.

i wish there was a way to locally/offline view the graphs, or at least be able to view graphs with latency. Review collected by and hosted on G2.com.

I like how it seemlessly integrates into the workflow and reports all relevant information. Review collected by and hosted on G2.com.

I did not like how it remains logged in even without the login command, and how it starts a different log for the same 'run name'. Review collected by and hosted on G2.com.

It is very quick to get started with logging models and performance to wandb, implementation and integration are readily intuitive and straightforward.

There are some useful available features such as model sweeping and other filtering/grouping mechanisms with runs logged in a given project.

Whenever I need to keep track of ML model performance, I use wandb. Review collected by and hosted on G2.com.

The number of concurrent runs is somehow too limited if one launches jobs to a cluster.

It is most of the time hard to find the relevant information you are seeking for in the documentation, hence help comes from issues dealt online by users on different platforms (github, stackoverflow, etc.) Review collected by and hosted on G2.com.

Extremely easy to use (both in browser or via API) + sweep launcher that allows to distributes experiments for different machines Review collected by and hosted on G2.com.

There's no easy pipeline for cross-validation, unless you play a bit around... In any case, it does never get as smooth as the other default functionalities

It is designed for the setting where you have fixed train, val, test sets Review collected by and hosted on G2.com.

Managing runs that are lauched across different machines Review collected by and hosted on G2.com.

All new accounts have to be a team not personal Review collected by and hosted on G2.com.

graphs, experiment logs, easy to share within team Review collected by and hosted on G2.com.

too expensive. latency sometimes sucks too. Review collected by and hosted on G2.com.