vincent - A Python to Vega translator

•    Python

---

If you are interested in this library, I would direct you to the Altair project: https://github.com/altair-viz/altair It supports the latest version of vega, is fully-featured, has a great development team, and has been developed with the support of the Vega team at UW. There will be no more updates, closed issues, or PR merges for the Vincent project. Thanks so much to everyone who tried it or used it along the way.

ngx-graph - Graph visualization library for angular

•    TypeScript

---

This library is focused on handling graph data (anything with nodes and edges) rather than chart data. Currently the only visualization uses the Dagre layout, which is specialized for directed graphs. The plan is to implement multiple visualisations for graph data within this same library. Eventually, ngx-charts-force-directed-graph may be imported into this library as another option to visualize your graph data. ngx-graph is a Swimlane open-source project; we believe in giving back to the open-source community by sharing some of the projects we build for our application. Swimlane is an automated cyber security operations and incident response platform that enables cyber security teams to leverage threat intelligence, speed up incident response and automate security operations.

dag directed-graph chart svg angular angular2 data-viz workflow angularjs charts charting d3 viz graph dataviz d3.js d3js angular4 directed-acyclic-graph visualization tree

Vega Lite - A concise grammar of interactive graphics, built on Vega

•    TypeScript

---

Vega-Lite is a high-level grammar of interactive graphics. It provides a concise JSON syntax for rapidly generating visualizations to support analysis. Vega-Lite specifications can be compiled to Vega specifications.

visual-analysis visualization-grammar visualization vega charts declarative-language vega-lite

muze - Composable data visualisation library for web with a data-first approach now powered by WebAssembly

•    Javascript

---

Muze is a free data visualization library for creating exploratory data visualizations (like Tableau) in browser, using WebAssembly. It uses a layered Grammar of Graphics (GoG) to create composable and interactive data visualization for web. It is ideal for use in visual analytics dashboards & applications to create highly performant, interactive, multi-dimensional, and composable visualizations. It uses a data-first approach to define the constructs and layers of the chart, automatically generates cross-chart interactivity, and allows you to over-ride any behavior or interaction on the chart.

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Apache Superset is a Data Visualization and Data Exploration Platform

•    Python

---

Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts. It easily integrates your data, using either our simple no-code viz builder or state of the art SQL IDE. Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.

react flask data-science bi analytics superset apache data-visualization data-engineering business-intelligence data-viz data-analytics data-analysis sql-editor asf business-analytics

Apache ECharts - An Open Source JavaScript Visualization Library

•    Typescript

---

Apache ECharts is an open-sourced JavaScript visualization tool, which can run fluently on PC and mobile devices. It is compatible with most modern Web Browsers. The basic chart types ECharts supports include line series, bar series, scatter series, pie charts, candle-stick series, boxplot series for statistics, map series, heatmap series, lines series for directional information, graph series for relationships, treemap series, sunburst series, parallel series for multi-dimensional data, funnel series, gauge series.

visualization svg charts canvas charting-library data-visualization data-viz

reaviz - 📊 Data visualization library for React based on D3

•    TypeScript

---

REAVIZ is a modular chart component library that leverages React natively for rendering the components while using D3js under the hood for calculations. The library provides an easy way to get started creating charts without sacrificing customization ability. If you are looking for node-based graphs, checkout reaflow.

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vue-vega - Vega Lite and Vega bridge to Vue.js ecosystem

•    Javascript

---

vue-vega is a set of components and utilises dedicated to help developer access vega-lite and vega functionality through convenient API for Vue.js ecosystem.

vega-lite vega vue visualization visual-analysis visualization-grammar charts frontend

ECharts - A Declarative Framework for Rapid Construction of Web-based Visualization

•    Javascript

---

ECharts is a powerful charting and visualization library offering an easy way of adding intuitive, interactive, and highly customizable charts to your commercial products. It is written in pure JavaScript and based on zrender, which is a whole new lightweight canvas library. ECharts-GL is an extension pack of ECharts, which provides 3D plots, globe visualization and WebGL acceleration.

visualization chart data-visualization data-viz visualize-data canvas webgl

vega - A visualization grammar.

•    Javascript

---

Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. With Vega you can describe data visualizations in a JSON format, and generate interactive views using either HTML5 Canvas or SVG. For documentation, tutorials, and examples, see the Vega website. For a description of changes between Vega 2 and later versions, please refer to the Vega Porting Guide.

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AnyChart-Android - AnyChart Android Chart is an amazing data visualization library for easily creating interactive charts in Android apps

•    Java

---

AnyChart Android Charts is an amazing data visualization library for easily creating interactive charts in Android apps. It runs on API 19+ (Android 4.4) and features dozens of built-in chart types. Check out getting started.

android-library android-development android-ui android-chart data-visualization charts chart android-component chart-component chart-library charting-library charting android-charting android-charts android-view android-widget android-widgets android gradle android-studio

altair - ✨⚡️ A beautiful feature-rich GraphQL Client for all platforms.

•    TypeScript

---

Altair is a beautiful feature-rich GraphQL Client IDE for all platforms. Available for MacOS, Windows, Linux, Chrome, Firefox. It enables you interact with any GraphQL server you are authorized to access from any platform you are on.

electron chrome-extension graphql-client graphql fragments data angular opensource database ngrx express-middleware graphql-server graphql-subscriptions graphiql desktop-apps hacktoberfest altair graphql-editor graphql-ide fossa-status wysiwyg editor client

react-vis - Data-Visualization oriented components

•    Javascript

---

A collection of react components to render common data visualization charts, such as line/area/bar charts, heat maps, scatterplots, contour plots, pie and donut charts, sunbursts, radar charts, parallel coordinates, and tree maps.Install react-vis via npm.

uber chart data-visualization charting-library visualization react d3 es6 babel

plotly.js - The open source JavaScript graphing library that powers plotly

•    Javascript

---

Built on top of d3.js and stack.gl, plotly.js is a high-level, declarative charting library. plotly.js ships with 20 chart types, including 3D charts, statistical graphs, and SVG maps.

charting-library charts javascript-charts visualization graphs

plotly.py - An interactive, browser-based graphing library for Python :sparkles:

•    Python

---

Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. plotly.py is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or hosted online on plot.ly.

d3 plotly plotlyjs webgl dashboard visualization graph-library

gramm - Gramm is a complete data visualization toolbox for Matlab

•    Matlab

---

Gramm is a powerful plotting toolbox which allows to quickly create complex, publication-quality figures in Matlab, and is inspired by R's ggplot2 library by Hadley Wickham. As a reference to this inspiration, gramm stands for GRAMmar of graphics for Matlab. Gramm is a data visualization toolbox for Matlab that allows to produce publication-quality plots from grouped data easily and flexibly. Matlab can be used for complex data analysis using a high-level interface: it supports mixed-type tabular data via tables, provides statistical functions that accept these tables as arguments, and allows users to adopt a split-apply-combine approach (Wickham 2011) with rowfun(). However, the standard plotting functionality in Matlab is mostly low-level, allowing to create axes in figure windows and draw geometric primitives (lines, points, patches) or simple statistical visualizations (histograms, boxplots) from numerical array data. Producing complex plots from grouped data thus requires iterating over the various groups in order to make successive statistical computations and low-level draw calls, all the while handling axis and color generation in order to visually separate data by groups. The corresponding code is often long, not easily reusable, and makes exploring alternative plot designs tedious.

matlab visualization stats plot data-visualization statistics

datoviz - ⚡ High-performance GPU interactive scientific data visualization with Vulkan

•    C

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Datoviz is an open-source high-performance interactive scientific data visualization library leveraging the graphics processing unit (GPU) for speed, visual quality, and scalability. It supports both 2D and 3D rendering, as well as minimal graphical user interfaces (using the Dear ImGUI library). Written in C, Datoviz has been designed from the ground up for performance. It provides native Python bindings (based on Cython). Bindings to other languages could be developed thanks to community efforts (Julia, R, MATLAB, Rust, C#, and so on). Datoviz uses the Vulkan graphics API created by the Khronos consortium, successor of OpenGL. Supporting other modern graphics API, such as WebGPU, would constitute interesting developments.

visualization cpp gpu graphics rendering vulkan data-visualization scientific-visualization scientific-computing data-viz

ApexCharts.js - A modern JavaScript charting library to build interactive charts and visualizations with simple API

•    Javascript

---

ApexCharts is a modern charting library that helps developers to create beautiful and interactive visualizations for web pages. It is flexible and responsive - making your charts work on desktops, tablets as well as mobiles. It is interactive Zoom, Pan, Scroll through data, toggle datasets visibility in multiple series. The dynamic nature of ApexCharts allows you to load data on selections and create other charts based on those selections.

charts graphs svg data-visualization visualization interactive visualizations data javascript-charts charting-library

Chartist-js - Simple responsive charts

•    Javascript

---

Chartist.js is a simple responsive charting library built with SVG. Its goal is to provide a simple, lightweight and unintrusive library to responsively craft charts on your website. It's important to understand that one of the main intentions of Chartist.js is to rely on standards rather than providing it's own solution to a problem which is already solved by those standards. We need to leverage the power of browsers today and say good bye to the idea of solving all problems ourselves.

chartist responsive-charts charts charting visualization data-visualization charting-library

Seaborn - Statistical data visualization using matplotlib

•    Python

---

Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.Online documentation is available at seaborn.pydata.org. Installation requires numpy, scipy, pandas, and matplotlib. Some functions will optionally use statsmodels if it is installed.

data-visualization visualization statistics