The ability to track everything including gradients is a wonderful aspect. Review collected by and hosted on G2.com.

One problem is if there's a zombie wandb process and I try to kill it, it makes other functioning trainig runs terminate. Review collected by and hosted on G2.com.

I like the WEB UI, especially the manipulation of plots and reports as they simplify and visualize many metrics and parameters.

I also like the artifactory and the model registry, they help manage the countless number of models created during an ML/DL project.

Sweep management is also cool! We build an automation tool around it that simplifies ML sweeps and thus helps us get better results.

Finally, I love the prompt and kind assistance we (Nvidia) get on the dedicated Slack channel. Really appreciated! Review collected by and hosted on G2.com.

Not too much actually :)

I guess sometimes the web UI is a bit slow. Review collected by and hosted on G2.com.

The online API is really helpful to organize results and projects. Review collected by and hosted on G2.com.

In the online website, the graphs showing evolution of a metric for example can't be dezoomed easily with the scroll wheel and we can't move in the graph after zooming. Review collected by and hosted on G2.com.

Its easy and seamless integration with PyTorch lightening and simple API usage. The model (artifact) and logs logging also help me trace back a model that was training months ago. Review collected by and hosted on G2.com.

Nothing as of now. Would appreciate more dark modes and API control to give experiment names, rather than having my experiment named 'Tasty-Aadvark'. Review collected by and hosted on G2.com.

Visualization of data from different perspective Review collected by and hosted on G2.com.

Nothing really, maybe it can be good to customize the hardware monitoring interval Review collected by and hosted on G2.com.

- Ability to view in browser

- Ability to share with collaborators

- Ability to add figures to experiment reports Review collected by and hosted on G2.com.

- Annoying bug with visualising segmentation labels - red speckles appear in the label masks which can make it hard to evaluate. Review collected by and hosted on G2.com.

It is easy, I can live preview the results, all the plots are done automatically and smartly. It is a great gain of time. Review collected by and hosted on G2.com.

The user interface is slow but it is acceptable. Retrieving runs data from wandb using the wandb.Api() takes forever (e.g., 30h for around 30 000 runs of hyperparameter in several environments). I would like to be able to download all data from a set of runs selected from filters in a single api call. Since it represents less than 100 mb of data, it should be feasible in a few minutes maximum, right? The documentation is not great. Review collected by and hosted on G2.com.

That it is super easy to log all metrics, loss curves and all different kind of data and to get that data visualized in an interpretable manner. I really like how it is integrated into other frameworks like eg pytorch lightning.

I use W&B almost daily, at least I haven't started a single training run without using W&B ever since I subscribed. Review collected by and hosted on G2.com.

1) I would like to customize the plots and visualizations of the metrics shown even more. That would be nice to be able to do by using a script or something that can be used across multiple projects --> eg I would like to determine (from my python script) the color of all lines in a plot, and I don't know how to do that.

It would just be usefull for communication to team leaders, bosses etc., if they knew that eg. accuracy would also be plotted with a red, dotted line and that recall would always be a thick, blue line or something like that.

2) I have a hard time figuring out how to navigate all artifacts and how to use those. In eg the integration with ultralytics W&B will create an artifact for each epoch, which quickly fills up my storage. However, that is just a minor thing as I have just created a stand alone script to delete artifacts that aren't tagged with "best" etc. Review collected by and hosted on G2.com.

I use it for every project, it became a key tool for me to keep an overview about experiments no matter if or when using LLMs Review collected by and hosted on G2.com.

Working in teams is limited in the free version Review collected by and hosted on G2.com.

The API is self explanatory and the UI is smart Review collected by and hosted on G2.com.

Caching management is not clear, dis not find a way to clean old logs Review collected by and hosted on G2.com.