Hera (Argo)
Open SourceFundedOpen-source Python SDK for building scalable ML workflows on Argo Workflows
About Hera (Argo)
Hera is an open-source Python SDK designed to simplify the creation, management, and orchestration of machine learning workflows on Argo Workflows. It enables data scientists and ML engineers to define complex workflows, including DAGs, steps, loops, and conditional executions, using Python scripts, making workflow automation more accessible and maintainable. Hera supports advanced workflow features such as artifact handling, parameter passing, retries, and resource management, which are essential for robust ML pipeline execution.
Targeted at enterprises leveraging Kubernetes and Argo for ML operations, Hera provides a developer-friendly interface to build scalable and reproducible ML pipelines. Its integration capabilities with tools like Dask, Spark, and ML monitoring platforms enhance its utility in large-scale machine learning environments. Hera's open-source nature ensures flexibility and community-driven improvements, making it a valuable platform for organizations aiming to streamline their ML lifecycle management while maintaining control over their infrastructure.
Key Capabilities
- ✓Python SDK for Argo Workflow orchestration
- ✓Support for DAGs, loops, and conditional workflows
- ✓Artifact management and parameter passing
- ✓Integration with ML tools like Dask and Spark
- ✓Advanced workflow features including retries and resource configs
Integrations
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