A Python visual Flow Based Programming library that integrates into your existing workflow.
Documentation : find it here
Barfi is a Flow Based Programming environment that provides a graphical programming interface. It is integratable into your existing Python workflows. A schema is built using barfi.Blocks. Then the schema is executed with barfi.ComputeEngine.
Each barfi.Block has some properties that enable the FBP and schema building. Firstly, each Block has Input and Output interfaces that link to other Blocks. Each Block can carry an executable function, that is specified by the user. This function can access/get data from the Input interface, perform computations or calculations and set the Output interface.
In general, Barfi is an abstraction of the Graphical Programming, Flow Based Programming or Node programming. Where the Block is synonymous to Node, and a Link (connection) is synonymous to an Edge. There are many ways to call this, each serving a specific need or a philosophy. For, Barfi I've kept it simple, so that it can be customized to different use-cases and philosophy.
Existing visual Flow Based Programming (FBP) libraries in Python run in their own/separate environment. They are not integratable into existing workflows, nor can they be used as a component in your existing scripts. Barfi bridges this with a Streamlit widget, and a Jupyter-Notebook widget is in the roadmap.
The other main limitation for the existing Python libraries is the lack of domain specific components. Barfi has a roadmap to add domain specific components.
In your Python project virtual environment install using pip:
pip install barfi-
Barfi has a Streamlit component with the API
barfi.st_barfi. -
Plans are on way to build a Jupyter-Notebok widget.
The frontend is built using Vue and BaklavaJS. Some of the implemented backend logic are borrowed from BaklavaJS.