For when you want to manage ML metadata at scale


Your experiments have grown to 100s of runs. Your team has grown too.
Sluggish performance at runtime and clumsy workarounds for collaboration
are slowing you down. It’s time you tried Neptune.

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

MLflow

TensorBoard
Neptune
Commercial Requirements

Open-source platform which offers four separate components for experiment tracking, code packaging, model deployment, and model registry

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

Tracking is hosted on a local/remote server (on-prem or cloud). Is also available on a managed server as part of the Databricks platform

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

Open-source

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

No requirements other than having mlflow installed if using a local tracking server. Check here for infrastructure requirements for using a remote tracking server

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.

Yes, they have SDK clients in various languages, and a CLI

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

Yes

Yes
No







No

No
No

No

No
No
Experiment Tracking




No





No

No
No

No

No
No

No

NA
No

No

NA
No

No

NA
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

No

No
No



No

No
No

No

No
No

No

No
No





No

No
No





No

No
No

No

No
No



No

No
No





Query language

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



No

No
No



No

No
No

No

No
No
Model Registry

No

No
No

No

No
No

No

No
No

No

No
No

No

No
No

No

No
No