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Manage your Machine Learning Lifecycle with MLflow and Astro

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Astro + MLflow

Take your MLOps to the next level with MLflow and Astro, the modern data orchestration platform powered by Apache Airflow. Streamline the model experimentation process by easily integrating Airflow and MLflow.


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MLflow

About MLflow

Use MLflow to manage your machine learning (ML) projects, models, and registry directly from your Astro pipelines. MLflow is an open-source platform for managing the full ML lifecycle, from experimentation, to reproducibility, to deployment. By combining MLflow with Astro you can integrate your ML work with your larger data ecosystem, reaching new levels of automation through easily maintainable and scalable pipelines.

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Use Case

By using the automation and orchestration of Airflow together with MLflow’s core concepts, your data team can easily standardize, share, and iterate through ML experiments. Astro is the perfect tool to schedule all your MLflow jobs in one central place. Covering all the steps from extraction to publication, you can automate your MLOps data with Astro.


See Astro in Action: Get a demo that’s customized around your unique data orchestration workflows and pain points.

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