visualisation

Interactive Data Visualization in the browser, from Python

Graph theory (network) library for visualisation and analysis

js2flowchart - a visualization library to convert any JavaScript code into beautiful SVG flowchart. Learn other’s code. Design your code. Refactor code. Document code. Explain code.

An implementation of the Grammar of Graphics in R

📺 Visual Editor & GraphQL IDE.

Adds file type icons to Vim plugins such as: NERDTree, vim-airline, CtrlP, unite, Denite, lightline, vim-startify and many more

📊 Vue.js wrapper for Chart.js

TerminalTextEffects (TTE) is a terminal visual effects engine, application, and Python library.

The BGP swiss army knife of networking

3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL

A Keyboard Visualizer

Toolbox for molecular animations in Blender, powered by Geometry Nodes.

CLI tool to visualise CloudFormation/SAM/CDK stacks as visjs networks, draw.io or ascii-art diagrams.

A react component to render nice graphs using vis.js

Diagrams for visualizing neural network architecture

JavaScript architecture diagrams and dependency graphs

🎨 Visualisation toolbox for beautiful and publication-ready figures

R package for thematic maps

Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.

Kubernetes RBAC static analysis & visualisation tool