Scientific Visualization
Showing 36 of 42 projects
An interactive visualization library for modern web browsers, built from Python.
An interactive, open-source graphing library for Python that creates browser-based visualizations with over 30 chart types.
Open-source JavaScript charting library for creating statistical, 3D, scientific, financial, and map visualizations.
A standalone JavaScript data visualization library for creating statistical, 3D, scientific, and financial charts.
A Python visualization library based on matplotlib for creating attractive statistical graphics with a high-level interface.
A C++ graphics library for data visualization with interactive plotting, high-quality export, and dozens of plot categories.
A Python implementation of a grammar of graphics for creating complex and beautiful statistical plots.
A fast, minimalist desktop application and library for viewing a wide range of 3D file formats with advanced rendering options.
A pure-Python graphics library for fast data visualization and GUI tools in scientific and engineering applications.
A fast, low-level C# binding for OpenGL, OpenAL, and OpenCL with cross-platform windowing, input, and math libraries.
A Python library that lets you annotate data with visualization semantics, allowing your data to visualize itself.
A fast, interactive, multi-dimensional image viewer for Python designed for browsing, annotating, and analyzing large scientific images.
Convert matplotlib figures to TikZ/PGFplots code for seamless integration into LaTeX documents.
An interactive data visualization tool that brings matplotlib graphics to the browser using D3.js.
A cross-platform windowing and multimedia library for Python, designed for games and visually rich applications.
An R package that extends ggplot2 to create publication-ready graphics with statistical details embedded directly in the plots.
A lightweight C++ and Python viewer for 3D data like meshes and point clouds with minimal integration effort.
3D plotting for Python in Jupyter notebooks using WebGL and IPython widgets.
Converts MATLAB/Octave figures to TikZ/pgfplots figures for seamless integration into LaTeX documents.
A WebGL-based viewer for visualizing volumetric data, 3D meshes, and skeletons in arbitrary cross-sectional views.
A high-performance immediate mode 3D plotting library for Dear ImGui, offering GPU-accelerated rendering of lines, surfaces, and meshes.
A WebGL-powered library for visualizing wind patterns using particle systems, capable of rendering up to 1 million particles at 60fps.
WebGL-accelerated JavaScript library for interactive molecular visualization in web applications.
An R package for visualizing and annotating phylogenetic trees and other tree-like structures using the grammar of graphics.
A high-performance GPU rendering library for scientific data visualization, built on Vulkan and up to 10,000x faster than matplotlib.
A Go library for creating basic charts with focus on autoscaling, error bars, and logarithmic plots.
A Python library for creating high-quality 3D visualizations of neuroanatomical data in atlas space.
A Python package for visualizing and processing 2D/3D point clouds with interactive rendering and parallelized queries.
A Python interface for interactive web-based visualization of multidimensional images, point sets, and geometry in Jupyter notebooks.
A high-performance JavaFX charting library for real-time scientific data visualization, handling up to 5 million data points at 25 Hz.
A Jupyter widgets library for interactive 3-D mesh visualization and analysis with GPU-accelerated effects.
A visualization package for NetworkX graphs with publication-quality defaults and flexible customization options.
A Python library for generating beautiful TikZ figures with clean, maintainable code instead of verbose TikZ syntax.
A JavaScript library for web-based 2D and 3D visualization of neurological data, featuring surface and volume viewers.
A WebGL-powered JavaScript library for interactive visualization of high-resolution multiplexed bioimaging data directly in the browser.
An R package for visualizing correlation matrices with automatic variable reordering to reveal hidden patterns.
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