W&B is the best platform to support experimental workflows in ML. Rapid turn-around time and extensive experimentation is key to identify what works best, but you also need to keep track and motivate your choices before deploying, especially for safety-critical areas like automomous driving and robotics. W&B enables both: massive experimentation and clear management. Plus having everything in the browser, shareable, and with deep introspection capabilities is a huge productivity boost for any collaborative project. My team and I have been using it since day 1 and we can't live without it! Review collected by and hosted on G2.com.

Nothing! The team just keeps adding features and responds really quickly to any of our bug reports. Review collected by and hosted on G2.com.

Support almost all kind of frameworks whether it is pytorch or tensorflow on any other . It integrates very easily with other and collaborative in the real time . Review collected by and hosted on G2.com.

Nothing to be disliked about in the application. I can just say i can be more user friendly and interactive. I find some operation that can be very simple but are difficult to use . Review collected by and hosted on G2.com.

The simplicity of integrating wandb into our pipelines and experiments Review collected by and hosted on G2.com.

Nooooooooooooooooooooooooooooooooooothing Review collected by and hosted on G2.com.

Our main use case for W&B is tracking experiments and sharing them in the team. It's super easy to set up and share experiments. Review collected by and hosted on G2.com.

Sometimes the UI is a bit slow, but not slow enough that it breaks our workflow. That's the only improvement area I can think of. Review collected by and hosted on G2.com.

Highly intuitive and simplistic API, also a great starting point for Kaggle starters. Review collected by and hosted on G2.com.

There nothing to hate or dislike, as the it does what it say, that too beautifully. Review collected by and hosted on G2.com.