https://github.com/spatialgraphics/spatialnode

Qt Node Editor. Dataflow programming framework for pyside6
https://github.com/spatialgraphics/spatialnode

dataflow graph node-editor pyside6 python3 qt6

Last synced: 9 months ago
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Qt Node Editor. Dataflow programming framework for pyside6

• Host: GitHub
• URL: https://github.com/spatialgraphics/spatialnode
• Owner: SpatialGraphics
• License: mit
• Created: 2024-03-01T00:06:12.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-04-25T02:47:56.000Z (over 1 year ago)
• Last Synced: 2025-03-23T12:11:16.780Z (9 months ago)
• Topics: dataflow, graph, node-editor, pyside6, python3, qt6
• Language: Python
• Homepage: https://pypi.org/project/SpatialNode/
• Size: 1.11 MB
• Stars: 6
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# SpatialNode

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

[![Publish](https://github.com/SpatialForce/SpatialNode/actions/workflows/python-publish.yml/badge.svg)](https://github.com/SpatialForce/SpatialNode/actions/workflows/python-publish.yml)

## Introduction

**SpatialNode** is conceived as a general-purpose Qt-based library aimed at

developing Node Editors for various applications. The library could be used for

simple graph visualization and editing or extended further for using the

[Dataflow paradigm](https://en.wikipedia.org/wiki/Dataflow_programming) .

The library is written using the Model-View approach. The whole graph structure

is defined by a class derived from ``AbstractGraphModel``. It is possible to

create or add Nodes and Connections. The underlying data structures could be of

any arbitrary type or representation.

An instance of ``AbstractGraphModel`` could or could not be attached to

specialized ``QGraphicsScene`` and ``QGraphicsView`` objects. I.e. the so-called

"headless" `modus operandi` is possible.

![](./docs/capture.png)

## Data Flow Paradigm

The extended model class ``DataFlowGraphModel`` allows to register "processing

algorithms" represented by nodes and is equipped with a set of Qt's signals and

slots for propagating the data though the nodes.

The node's algorithm is triggered upon arriving of any new input data. The

computed result is propagated to the output connections. Each new connection

fetches available data and propagates is further. Each change in the source node

is immediately propagated through all the connections updating the whole graph.

## Acknowledge

This project is forked form [nodeeditor](https://github.com/paceholder/nodeeditor) originally but rewrite to pure python

project, which can integrate with python package well.