Graph theory (network) library for visualisation and analysis
-
Updated
May 16, 2024 - JavaScript
Graph theory (network) library for visualisation and analysis
A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
Stroom is a highly scalable data storage, processing and analysis platform.
Visual effects applied to text in the terminal.
An implementation of the Grammar of Graphics in R
A graph-focused data visualisation and interactive analysis application.
A simple and straightforward log viewer that displays the events of interest in a clear and concise visual manner so that you can identify them faster.
Tiling tool for gridded data
Code-light plotting for earth science and aligned research
A framework for real-time brain signal streaming with MNE-Python.
Flexible VR Visualisation for Volumetric and Geometric Data on the Java VM, powered by Kotlin and Vulkan.
A lightweight python module to interact with atlases for systems neuroscience
Base Classes and Functions for Mass Spectrometry and Proteomics
Interactive Data Visualization in the browser, from Python
Simplify ggplot2 visualisation
A flexible 3D visualizer for displaying, debugging, presenting, and understanding ns-3 scenarios.
Updated Lambeth data packs website
JavaScript architecture diagrams and dependency graphs
"Phoenix", an experiment independent web-based event display for High Energy Physics.
R package for thematic maps
Add a description, image, and links to the visualisation topic page so that developers can more easily learn about it.
To associate your repository with the visualisation topic, visit your repo's landing page and select "manage topics."