semvec/pypi-packages huggingface dataset:
danse.ins.dsm 0.1.2
Data stream model

Data stream model helps developers to build "chains" of connected 
computing nodes and run them. 
A computing node has input/ouput sockets, and the "dsm runner"
is responsible to carry "data streams" through the "chains" 
and feed "data streams" to computing nodes.

Usage:

 Please read the main function in Composite.py for an example.

Notes:

 1. Developers are responsible to 
    * build computing nodes (with i/o sockets)
 2  Developers or Users are responsible to
    * specify connections of computing nodes

Hints for developers:

 1. Read tests in source codes to understand how to use dsm. 
    Start with Composite.py and Runner.py is a good idea

Limitations:
 1. No loops are allowed.
 2. Currently only a trivial implementation of "runner" exists. So data streams
    are limited in one physical machine.