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