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.
- 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.
You can install the StepFunction package using pip:
pip install stepfunctionFor 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.
The StepFunction package requires the following dependencies:
graphviz == 0.20.3
These will be automatically installed when you install the package via pip.
If you'd like to contribute to StepFunction, feel free to submit issues or pull requests. Contributions are welcome!
This project is licensed under the MIT License - see the LICENSE file for details.
Created and maintained by Vineeth Penugonda.