Data Visualization
Showing 36 of 1151 projects
An intuitive Python library that adds single-line plotting functions for scikit-learn and other machine learning objects.
An interactive data visualization tool that brings matplotlib graphics to the browser using D3.js.
Angular wrapper for Chart.js providing directives for line, bar, pie, radar, polar area, doughnut, bubble, and scatter charts.
A comprehensive SVG charting library for React Native, providing area, bar, line, pie, and progress circle charts with extensive customization.
A typeface that uses OpenType's contextual alternates feature to embed sparkline charts directly within text.
A comprehensive data visualization library for creating interactive charts in Android apps with dozens of built-in chart types.
A very fast JavaScript library for geospatial point clustering for browsers and Node.js.
A web-based tool for visualizing and playing back ROS bag files, with libraries for building custom web visualization tools.
An open-source SQL editor and business intelligence tool for ClickHouse databases.
A tiny JavaScript library for dynamically generating progress pie charts in your browser's favicon.
A Big Data IDE for discovering, creating, and sharing data analyses, queries, and tables with collocated metadata.
A collection of 3D components and engines for .NET, supporting WPF, WinUI, and Avalonia with DirectX 11.
A tiny JavaScript charting library for smooth, real-time streaming data visualization.
An open-source metadata service for collecting, aggregating, and visualizing data lineage and ecosystem metadata.
A curated collection of resources for building web applications with Plotly Dash, a Python framework for data visualization.
A Python library for building Flask-based dashboards with React components using Jinja templating.
A fast, simple web-based editor for creating, viewing, and sharing GeoJSON map data.
A lightweight C++ and Python viewer for 3D data like meshes and point clouds with minimal integration effort.
An R package that extends ggplot2 to create publication-ready graphics with statistical details embedded directly in the plots.
An R package for creating stunning 2D and 3D maps and data visualizations using raytracing, hillshading, and ggplot2 integration.
An R package for creating publication-quality, information-rich tables with a cohesive and flexible API.
A curated collection of R tutorials, packages, and resources for Data Science, NLP, and Machine Learning.
A macOS/iOS tool to view, edit, and analyze Core Data stores, supporting SQLite, XML, and binary formats.
A curated list of the best JavaScript charting libraries and data visualization resources for developers.
JavaScript constraint-based layout library for high-quality graph visualization using D3.js.
A simple, cross-platform charting library for .NET built on SkiaSharp.
A web API that generates chart images and QR codes from URL parameters for easy embedding in emails, SMS, and chat.
A collection of 30+ LaTeX drawing examples for Bayesian networks, graphical models, tensors, and academic illustrations.
A JavaScript library for slicing GeoJSON data into vector tiles on the fly in the browser or Node.js.
A markup language and toolkit for creating interactive articles, explorable explanations, and data-driven stories on the web.
An open-source JavaScript/C++ library for creating animated data visualizations and interactive data stories.
A JavaScript library for force-directed graph layout using velocity Verlet integration.
React Native charting library for building interactive data visualizations with a consistent API across platforms.
An R package that extends ggplot2's grammar of graphics to create animated data visualizations.
An easy-to-use, self-hosted SQL reporting application for creating interactive business intelligence dashboards.
A JavaScript framework and toolkit for creating interactive 3D/2D visualizations in the browser, optimized for data visualization.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.