Skip to main content

datarobot-mlops library to read and report MLOps statistics

Project description

DataRobot MLOps metrics reporting library

This is the Python version of the DataRobot MLOps reporting SDK. This library enables remote reporting of MLOps metrics back to DataRobot for monitoring.

More information on DataRobot MLOps reporting library can be found here:


Install the MLOps reporting SDK with minimal dependencies. This means that only the filesystem spooler type will be available.

pip install datarobot-mlops

By installing additional dependencies, you can leverage these additional spooler types:

  • rabbitmq - Installs dependencies for the rabbitmq spooler type.
  • google - Installs dependencies for the pubsub spooler type.
  • kafka - Installs dependencies for the kafka spooler type.
  • azure - Installs dependencies that enable Azure Active Directory authentication for the kafka spooler type.
  • aws - Installs dependencies for the sqs spooler type.

You can install these extra dependencies using pip, for example:

pip install 'datarobot-mlops[rabbitmq]'

You can also install multiple sets of dependencies at once, for example:

pip install 'datarobot-mlops[kafka,azure]'

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

datarobot_mlops-10.0.3a2-py3-none-any.whl (110.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page