Initialize new or existing Neptune objects.
Manage your workspace and users.
A field is a location where metadata is logged. Depending on their types, fields have different methods and properties.
Use environment variables to make your setup more smooth and secure.
Set the logging and synchronization mode.
You can use the Neptune Command Line Interface to manage and sync locally stored metadata.
Neptune client library#
The Neptune Python API has the following structure:
The Neptune R package includes most of the functionality that is available in the Python library.
You can find most up to date API reference on the CRAN package page .
We provide API references for the classes and functions exposed by Neptune integrations with other ML frameworks.
- Apache Airflow
- PyTorch Ignite