MLflow is an open-source platform for managing the machine learning lifecycle, including experiment tracking, model packaging, and deployment across diverse environments.. There are currently 2 open-source alternatives to MLflow, with a combined total of 6.3k GitHub stars. The most common language among these projects is Python.
Showing 2 open-source alternatives
An open-source, self-hosted ML experiment tracker with a performant UI and SDK for comparing and querying training runs.
A Python library for logging ML metrics, parameters, and models in simple file formats, compatible with DVC and Git.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.