The only affordable tool for scalable model development


TensorBoard is great for basic experiment tracking. But for advanced metadata management (that doesn’t cost an arm and a leg)? Choose Neptune.

Take a deep dive into the differences between WandB, TensorBoard and Neptune

Weights & Biases

TensorBoard
Neptune
Commercial Requirements

Standalone component

Open source tool which is a part of the TensorFlow ecosystem
Standalone component

TensorBoard is hosted locally. No
TensorBoard.dev is available on a managed server as a free service

Managed cloud service

TensorBoard is open-source, while TensorBoard.dev is available as a free managed cloud service
Managed cloud service

No

No
General Capabilities

No special requirements other than having wandb python library installed and access to the internet if using managed hosting. Check here for infrastructure requirements for on-prem deployment.

Basic logging can be done by having just TensorBoard installed. However, most advanced logging also requires TensorFlow to be installed
No special requirements other than having the neptune-client installed and access to the internet if using managed hosting. Check here for infrastructure requirements for on-prem deployment.

TensorBoard is available both as a client library and CLI. TensorBoard .dev is available only as a CLI
Yes, through the neptune-client library

No

Yes
No



No

No
No

No

No
No





No

No
No
Experiment Tracking



No

No
No


No





NA
No

NA

NA
No

NA

NA
No





Yes

No
No







No

No
No

No

No
No



No

No
No

Yes

No
No

No

No
No



No

No
No



No

No
No

No

No
No

No

No
No





No

No
No





No

No
No

No

No
No







Regex on names at the project level, fixed selectors at the run level

Regex with limited query language on the TensorBoard.dev experiments homepage




Model Registry

No

No
No

No

No
No

No

No
No

No

No
No

No

No
No

No
No

No

No
No

No

No
No

No

No
No

No

No
No

No

No
No

No

No
No
Integrations and Support

No

No
No