StepFunction

StepFunction is a Python library for orchestrating complex workflows through a step-by-step process. It allows for easy management of sequential and parallel tasks with robust error handling and branching. The library is inspired by AWS Step Functions but implemented as a Python-native solution to orchestrate workflows across any environment.

Features

• Sequential and Parallel Execution: Run steps one after another or in parallel.
• Error Handling: Define failure paths and handle exceptions gracefully.
• Branching Logic: Direct workflows based on conditions.
• Sub-Step Functions: Modularize workflows by embedding sub-step functions.
• Visualization: Integrated support for visualizing the workflow graph as a Mermaid flowchart.

Installation

You can install the StepFunction package using pip:

pip install stepfunction

Documentation and Further Reading

For more detailed usage examples and advanced use cases, please read the blog post that explains the design and usage of the library in-depth. This blog post covers advanced concepts like error handling, sub-step functions, and visualizing workflows in a real-world context.

Dependencies

The StepFunction package has no required runtime dependencies. Workflow visualization renders directly to Mermaid flowchart syntax (.mmd), which can be previewed in VS Code, GitHub/Bitbucket markdown, or https://mermaid.live without any additional tooling.

Contributing

If you'd like to contribute to StepFunction, feel free to submit issues or pull requests. Contributions are welcome!

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

Created and maintained by Vineeth Penugonda.