From local functions to cloud deployed pipelines - build pipelines in a functional manner. This package simplifies and streamlines the development of pipelines. You can start locally and deploy the pipelines later using your favorite framework. Further benefits are:
- You don't lock your pipelines into a framework. You can even convert your
pypelycode to the framework of your desire to develop your pipelines further in that framework. - The dependencies for each step are detected automatically. So, you don't need to manage the dependencies.
- The compatability of steps is checked during buildtime. Errors are catch as early as possible.
- You keep your pipelines easily testable.
pip install pypelyUse pypely to chain functions and structure your data processing code in a readable way.
use_pypely = pipeline(
open_favourite_ide,
create_new_conda_environment,
activate_environment,
install_pypely,
have_fun_building_pipelines
)
use_pypely() # -> 🥳If you want to learn more check out the following links.
If you want to contribute:
- Woohoo! 🥳
- Please check out the contribution guide.
- See the issues to find a contribution possibility or create one to tell your plan and start a discussion.
