Version updated for https://github.com/orieg/yaml-workflow to version v0.9.5. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary The YAML Workflow action is a lightweight workflow engine that allows users to define reproducible CI/CD pipelines, data processing, and DevOps automation tasks in version-controlled YAML files. It provides features like multiple task types, workflow composition via imports, and state persistence with resume capability. The action is designed for use cases where simple task automation without infrastructure overhead is needed, making it a lightweight alternative to shell scripts.

Version updated for https://github.com/orieg/yaml-workflow to version v0.9.4. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Summary: yaml-workflow is a lightweight workflow engine that allows developers to define and execute reproducible, version-controlled CI/CD pipelines and data processing tasks using plain YAML files. It provides features such as task automation without infrastructure overhead, reusable workflows through imports, state persistence, parallel execution, and more. This makes it suitable for local automation, scripts, and batch processing tasks while offering a lightweight alternative to shell scripts with better error handling. The tool is designed to be GitOps-friendly, making workflows live alongside the code in version control repositories.

Version updated for https://github.com/orieg/yaml-workflow to version v0.9.3. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary yaml-workflow is a lightweight, GitOps-based workflow engine that allows you to define reproducible CI/CD pipelines and data processing tasks using plain YAML files. It simplifies task automation by reducing infrastructure overhead and provides features like parallel execution, state persistence, and secret validation. The tool supports multiple task types, workflow composition via imports, and is suitable for local, CI, or any machine with Python installed.