Integrations

Neptune comes with 25+ integrations with Python libraries popular in machine learning, deep learning and reinforcement learning.

How integrations work?

Integrations are written using neptune-client and provide a convenient way to jump-start working with Neptune and a library that you are using. There is no need to integrate your code manually using neptune-client (it’s easy though).

For each integration, the installation, scope and usage example are explained in detail in the documentation (i.e.: TensorFlow-Keras integration).

You can always use neptune-client to log data to runs . If you need more control or explicit logging, you can always use it (all integrations use it anyway).

List of all integrations

My library is not here. What now?

There are two common paths:

  1. You can always use neptune-client , our open source Python library for logging all kinds of data and metadata to runs.

  2. Contact us directly via mail ([email protected]) or chat (that little thing in the lower right corner) to discuss what you need and how we can deliver it.