1,238 skills found · Page 6 of 42
kelvinau / Circular Audio WaveJS library for audio visualization in circular wave using Web Audio API and ECharts
reinesana / SAT0RUSAT0RU is a real-time cursed technique visualizer based on the popular anime series, Jujutsu Kaisen 呪術廻戦. It combines the mediapipe library with three.js to recreate cursed techniques from Jujutsu Kaisen.
bjascob / AmrlibA python library that makes AMR parsing, generation and visualization simple.
ScaleFree-Tech / Yishape MathYiShape-Math is a Java math library that provides NumPy-like functionalities including vector & matrix operations, data visualization, statistics, optimization, time series, signal processing, audio analysis, image processing and machine learning models.
richarddmorey / Stat Distributions JsJavascript library for the visualization of statistical distributions
reymond-group / TmapA very fast visualization library for large, high-dimensional data sets.
lambdamusic / OntospyPython library and command-line interface for inspecting and visualizing RDF models aka ontologies.
JuliaGL / GLVisualize.jlVisualization library written in Julia and OpenGL
cnr-isti-vclab / NexusNexus is a c++/javascript library for creation and visualization of a batched multiresolution mesh
gosling-lang / GosA declarative interactive genomics visualization library for Python.
SjoerdTilmans / SjvisualizerLibrary to make animated data visualizations from time series data
jasoncoon / Led MapperAn online tool to generate and visualize maps for irregular and/or gapped LED layouts, for use with FastLED, Pixelblaze and other libraries.
eurostat / GridvizA library for visualizing gridded data 🌐
kitschpatrol / Brain GrapherProcessing-based visualizer for NeuroSky EEG brainwave data output from the Arduino Brain library.
milaan9 / 12 Python Seaborn ModuleSeaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.
mazznoer / ColorgradGo (Golang) color scales library for maps, charts, data-visualization & creative coding.
NitorCreations / NflowEmbeddable JVM-based workflow engine with high availability, fault tolerance, and support for multiple databases. Additional libraries are provided for visualization and REST API.
milaan9 / 11 Python Matplotlib ModuleMatplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc
tkrabel / Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
keen / Keen Dataviz.jsData Visualization Charting Library
