{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/6"}],"enrichment":{"capability":"Hera is a Python SDK that turns Python functions into Argo Workflows templates and submits them to a Kubernetes cluster, letting you define containerized workflow orchestration in pure Python.","skillfed_tags":["kubernetes-orchestration","workflow-automation","argo-workflows"],"use_cases":["Define multi-step data pipelines in Python and run them on Kubernetes without writing YAML workflow manifests.","Orchestrate containerized ML training jobs with task dependencies, parallelism, and conditional logic.","Build GitOps-friendly workflows by generating YAML from Python code for version control and review.","Automate complex scientific computations or simulations across Kubernetes clusters using Python-native syntax.","Enable data science teams to express workflow logic in Python while leveraging Kubernetes infrastructure."],"what_it_does":"Hera is a Python SDK that bridges Python code and Argo Workflows, a Kubernetes-native workflow engine. It lets you define containerized workflow templates using Python decorators and functions, then submit them directly to an Argo server running on Kubernetes. Instead of writing YAML manifests, you write Python\u2014functions become reusable script templates, and orchestration logic (task dependencies, parallelism, conditional execution) lives in Python code outside your business logic. The SDK handles the translation to Argo's workflow format and manages submission via HTTP requests to your Argo server.\n\nTypical usage involves decorating Python functions with @script(), composing them into DAGs or other workflow patterns, and calling w.create() to submit. Hera depends on pydantic for validation, requests for HTTP communication with the Argo server, and typing-extensions for runtime type hints. It requires an existing Argo Workflows deployment on a Kubernetes cluster and authentication credentials (typically a Bearer token or port-forwarded access).","worth_installing":"Yes, if you have an Argo Workflows cluster running on Kubernetes and want to define workflows in Python instead of YAML. The package is actively maintained, has no known vulnerabilities, low install friction, and a permissive license. It's production-stable (Development Status 5) and supports current Python versions (3.10\u20133.14). Install only if you already operate Argo Workflows; it is not a standalone orchestration tool."},"id":"hera-workflows","links":{"html":"https://skillfed.io/packages/hera-workflows","md":"https://skillfed.io/packages/hera-workflows.md","pypi":"https://pypi.org/project/hera-workflows/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-18","license_spdx":null,"license_treatment":"permissive","name":"hera-workflows","python_support":"supports_current","summary":"Hera makes Python code easy to orchestrate on Argo Workflows through native Python integrations. It lets you construct and submit your Workflows entirely in Python."},"popularity":{"monthly_downloads":147368,"position":11068,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"7.0.0"}