Data Visualization
Showing 36 of 1151 projects
An open-source platform for storing, visualizing, and sharing geospatial data like orthophotos, point clouds, and 3D models.
A JavaScript library for visualizing audio frequencies and BPM as circular waves or sunburst charts using Web Audio API and ECharts.
A curated, categorized collection of books about the R programming language for data science, statistics, and visualization.
A curated, categorized collection of books about the R programming language for data science, statistics, and visualization.
A massively parallel library for training self-organizing maps on multicore CPUs, GPUs, and clusters with support for dense and sparse data.
A wrapper for the Google Charts library written in Angular, featuring standalone components and interactive dashboards.
A JavaScript library for computing Voronoi diagrams and Delaunay triangulations on the surface of a sphere.
An easy-to-use and highly customizable charts library for iOS supporting bar, line, pie, radar, and scatter charts.
A JSON explorer plugin for Neovim that renders structured data as an interactive graph in the terminal interface.
A framework for building embeddable, interactive data visualization tools with a unified data schema.
Extends D3 selections with jQuery-like convenience functions for DOM manipulation.
A collection of D3.js visualization plugins for Leaflet maps, enabling dynamic hexbin heatmaps and animated ping layers.
jQuery plugin that automatically converts HTML data tables into interactive Highcharts graphs.
Core React component suite for building interactive web applications with Plotly Dash.
A JupyterLab extension that displays widget outputs in a separate side panel or new tab for better workspace organization.
Build interactive web visualizations with Python without HTML/JS knowledge, inspired by R's Shiny package.
A JavaScript-based online viewer for UAV telemetry and dataflash logs with 3D visualization.
A Flutter package for creating beautiful, customizable sparkline charts with minimal code.
An R package that provides an interface to ECharts for creating interactive HTML maps and data visualizations.
A customizable, interactive Gantt chart component for Svelte, designed for visualizing and managing project timelines.
Open-source runtime that executes MATLAB syntax on CPU and GPU automatically, with cross-platform hardware support and no vendor lock-in.
A chart library for watchOS apps providing line, bar, pie, circle, and radar charts.
A Rust tool for drawing low-resolution graphs directly in the terminal for quick data analysis from logs and text files.
A small, fast, in-browser column-oriented database engine for performing aggregation queries in web-based analytics and visualization applications.
A Clojure/ClojureScript library for generating Graphviz graphs using a Hiccup-style DSL.
A JavaScript library that converts GeoJSON data to SVG strings for mapping, supporting both client-side and server-side usage.
A D3.js plugin for creating sketchy, hand-drawn style backgrounds, shapes, and lines in data visualizations.
A curated list of web-based interactive visualization tools for exploring biological data across genomics, transcriptomics, and other omics fields.
A high-performance, type-safe DataFrame library for the JVM enabling large-scale data analysis with parallel processing capabilities.
A JavaScript library for client-side visualization of gridded and tabular coordinate data in the browser with diverse cartographic styles.
A fast, lightweight JavaScript library for generating and manipulating color gradients with unlimited stops.
A UC Berkeley course teaching urban data analysis, visualization, and mapping using Python and open-source tools for city planning.
A Web Component for visualizing JSON data in an interactive, customizable tree view.
A full-stack expense tracking application built with Vue.js and .NET, featuring JWT authentication, charts, and mobile responsiveness.
A Vue.js dashboard for real-time cryptocurrency tracking with charts, news, and PWA support.
Course materials for GWU's Data Mining and Machine Learning classes covering preprocessing, modeling, and practical Kaggle applications.
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