yaflux#
A declarative framework for managing complex analytical workflows in Python.
Overview#
yaflux provides a structured approach to managing complex data analysis pipelines where tracking transformations, ensuring reproducibility, and maintaining clear provenance are essential. It offers a pure Python solution for declaring dependencies between analysis steps and managing results immutably.
Key Features#
Declarative Workflow Definition: Analysis steps are defined through decorators that explicitly state their inputs and outputs
Immutable Results Management: Results are tracked and protected from inadvertent mutation
Dependency Tracking: Automatic tracking of dependencies between analysis steps
Progress Monitoring: Built-in tracking of completed analysis steps
Serialization: Simple persistence of complete analysis states
Portable Results: Analysis results can be shared and loaded without original class definitions