Visualization
Showing 36 of 402 projects
A low-level JavaScript library for creating dynamic, data-driven visualizations using SVG, Canvas, and HTML.
A JavaScript-based diagramming tool that generates flowcharts, sequence diagrams, and more from markdown-like text definitions.
A powerful, interactive JavaScript charting and data visualization library for the browser.
A powerful, interactive JavaScript charting and data visualization library for the browser.
A fast, lightweight 2D WebGL/WebGPU renderer for creating interactive graphics and cross-platform web applications.
A fast, lightweight 2D WebGL/WebGPU renderer for creating interactive graphics and cross-platform web applications.
A fast, lightweight 2D WebGL/WebGPU renderer for creating interactive graphics and cross-platform web applications.
An interactive git visualization and tutorial that helps developers master git through visual sandbox and educational levels.
An open-source data visualization and dashboard platform that connects to any data source, enabling teams to query, visualize, and share data insights.
An open-source data visualization and dashboard platform that connects to any data source, enabling teams to query, visualize, and share data insights.
A unified Python library for explaining any machine learning model's predictions using Shapley values from game theory.
LaTeX code and Python interface for creating publication-quality neural network architecture diagrams.
Open-source IoT Platform - Device management, data collection, processing and visualization.
A collection of reusable low-level React visualization components that combine D3's power with React's declarative DOM updates.
A collection of reusable low-level React visualization components that combine D3's power with React's declarative DOM updates.
An interactive visualization library for modern web browsers, built from Python.
A visualization tool for profiling data that converts stack traces into interactive flame graphs to identify performance bottlenecks.
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 modern JavaScript charting library for building interactive SVG-based data visualizations with a simple API.
A hyperparameter optimization framework for machine learning with a define-by-run API for dynamic search spaces.
A WebGL2/WebGPU-powered framework for high-performance, large-scale data visualization in the browser.
An open-source library for rapid development of software dealing with 3D data, with support for C++ and Python.
A PyTorch library providing state-of-the-art methods for generating visual explanations (Class Activation Maps) for computer vision models.
A concise and progressive visualization grammar for building dashboards, exploring data, and storytelling.
A TypeScript/JavaScript framework for building interactive graph visualization and analysis applications.
A more intuitive disk usage analyzer written in Rust that visualizes which directories and files consume the most space.
A Python library that explains predictions of any machine learning classifier using local interpretable model-agnostic explanations.
A powerful open-source web application for visual exploration and analysis of large-scale geospatial data sets.
A declarative JSON format for creating, saving, and sharing interactive data visualizations.
An open-source SDK for logging, storing, querying, and visualizing multimodal, time-series data like images, point clouds, and tensors.
A faithful HTML5 and JavaScript reimplementation of Winamp 2 with full skin support for the browser.
A fully featured JavaScript library for graph theory (network) visualization and analysis.
An unofficial VS Code extension that integrates the Draw.io diagram editor directly into your IDE.
An interactive visualization system for learning how Convolutional Neural Networks work through hands-on exploration.
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