Introducing Ryven: A Python Visual Scripting Tool for Data Visualization

Just as artists use painting to help people perceive the world more closely, data visualization can convey information more intuitively. The article showcases beautiful Python script visualizations created with Ryven.

All the examples are implemented with Ryven, a Python script visualization tool that runs entirely within its editor, allowing any Python code to be placed in a node without exporting code, and offering simple node creation and Qt‑based UI support.

To get started, prepare the development environment with Python 3 (≥ 3.8) and PySide2 (≥ 2.14), then launch the editor by running Ryven.py . Example packages are located in the packages folder and sample projects in the saves folder.

In Ryven each script contains variables, a flow (or graph), and a log, and nodes can be manipulated via right‑click.

Importing nodes requires importing a node package (File → Import Nodes) and selecting a .rpc file.

Ryven supports two algorithmic modes: data flow, suitable for linear data processing, and execution flow, which enables control structures such as loops.

In data flow, every change in a node’s output propagates forward and triggers updates in all connected nodes.

In execution flow, data does not propagate on change; it is generated on request (e.g., via self.input() ) and only the requesting node triggers updates, executing the full expression when needed.

Control features include stylus support, zoom with Ctrl + mouse wheel, and node placement via right‑click.

*Disclaimer: This article is compiled from the web; copyright belongs to the original author. Contact us for removal or licensing.