Project Description

MLRun is a generic and convenient mechanism for data scientists and software developers to build, run, and monitor machine learning (ML) tasks and pipelines on a scalable cluster while automatically tracking executed code, metadata, inputs, and outputs. MLRun integrates with the Nuclio serverless project and with Kubeflow Pipelines.

MLRun features a Python package (mlrun), a command-line interface (mlrun), and a graphical user interface (the MLRun dashboard).

Read more detailed documentation here.

Links

Download source code as [.zip file] [.tar.gz file]
Documentation: [README]