At 80k stars D3.js is probably the most popular and extensive Javascript data visualization library out there. D3 is built for manipulating documents based on data and bring data to life using HTML, SVG, and CSS. D3’s emphasis on web standards gives you the capabilities of modern browsers without coupling to a proprietary framework, combining visualization components and a data-driven approach to DOM manipulation. It allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. Here’s a great example gallery.

Note: some say D3 isn’t a data visualization library at all… 🙂

2. ChartJS

An extremely popular (40k stars) library of open source HTML 5 charts for responsive web applications using the canvas element. V.2 provides mixed chart-types, new chart axis types, and beautiful animations. Designs are simple and elegant with 8 basic chart types, and you can combine the library with moment.js for time axis. You can also check out the library on cdnjs.

3. ThreeJS

This incredibly popular library (45K stars; 1K contributors) in built for creating 3d animations using WebGL. The project’s flexible and abstract nature means it’s also useful for visualizing data in 2 or 3 dimensions. For example You can also use this designated module for 3D graph visualization with WebGL, or try this online playground. Interesting choice to consider.

4. Echarts & Highcharts

Highcharts JS is a 8K stars and widely popular JavaScript charting library based on SVG, with fallbacks to VML and canvas for old browsers. It claims to eb used by 72 out of the world’s 100 largest companies, which makes it (probably) the most popular JS charting API in the world (Facebook, Twitter).

5. Metric-Graphics

MetricsGraphics.js (7k stars) is a library optimized for visualizing and laying out time-series data. It’s relatively small (80kb minified), and provides a narrow yet elegant selection of line charts, scatterplots, histograms, bar charts and data tables, as well as features like rug plots and basic linear regression. Here’s a link to an interactive example gallery.

6. Recharts

Recharts is a chart library build with React and D3 that lets you deploy as declarative React components. The library provides native SVG support, lightweight dependency tree (D3 submodules) is highly customizable via component props. You can find live examples in the docs website.

7. Raphael

A 10k stars Javascript “vector library” for working with vector graphics in the web. The library uses the SVG W3C Recommendation and VML as a base for creating graphics, so every graphical object is also a DOM object and you can attach JavaScript event handlers. Raphaël currently supports Firefox 3.0+, Safari 3.0+, Chrome 5.0+, Opera 9.5+ and Internet Explorer 6.0+.

7. C3js

At 8k stars C3 is a D3-based reusable chart library for web applications. The library provides classes to every element so you can define a custom style by the class and extend the structure directly by D3. It also provides a variety of APIs and callbacks to access the state of the chart. By using them, you can update the chart even after it’s rendered. Take a look at these examples.

8. React Virtualized + React Vis + Victory

React-vis (4k stars) is Uber’s set of React components for visualizing data in a consistent way, including line/area/bar charts, heat maps, scatterplots, contour plots, hexagon heatmaps and much more. The library does not require any previous knowledge with D3 or any other data-vis library, and provides low-level modular building-block components such as X/Y axis. A great match for working with Bit and a very useful library to consider.

React virtualized (12k stars) is a set of React components for efficiently rendering large lists and tabular data. ES6, CommonJS, and UMD builds are available with each distribution and the project supports a Webpack 4 workflow. Note that react, react-dom must be specified as peer dependencies in order to avoid version conflicts. Give it a try.

Victory is a collection of React composable React components for building interactive data visualization, built by Formidable Labs and with over 6k stars. Victory uses the same API for web and React Native applications for easy cross-platform charting. An elegant and flexible way to leverage React components in favor of practical data visualization. I like it.

These libraries is a neat combination with Bit when using individual components, to share and sync them across apps.

9. CartoDB

At 2k stars Carto is a Location Intelligence & Data Visualization tool for discovering insights underlying location data. You can upload geospatial data (Shapefiles, GeoJSON, etc) using a web form and visualize it in a dataset or on a map, search it using SQL, and apply map styles using CartoCSS. Here are a bunch of video demos to help you get the idea and get started.

10. Raw graphs

At over 5K stars Raw is a connection link between spreadsheets and data visualization built to create custom vector-based visualizations on top of the d3.js library. It works with tabular data (spreadhseets and comma-separated values) as well as with copied-and-pasted texts from other applications. Based on the SVG format, visualizations can be edited with vector graphics applications for further refinements, or directly embedded into web pages. Here’s an example gallery to explore before diving in.

11. Metabase