The Best Data Visualization Projects on GitHub for Embedded Analytics

For data scientists and application developers looking to integrate great visualizations, Github offers a variety of open-source data visualization choices. There’s no denying that data visualization is a crucial component of data science. While data scientists have a variety of commercial options for creating visualizations for sharing and explaining data stories, open-source alternatives are catching up to their closed-source counterparts.

Let’s take a look at some of the best data visualization projects on GitHub, as well as some use cases for embedded analytics.

The Use Cases for Embedded Analytics

The integration of analytical capabilities and data visualizations into another software program is known as embedded analytics. The end-user can evaluate the data housed within the software program into which the analytics platform is built by embedding real-time reports and dashboards. The end-user can utilize this research to detect and minimize difficulties as well as optimize possibilities.

Including analytics in your workplace software program might provide significant benefits. Embedding analytics gives you commercial options ranging from enhancing user engagement to giving new income channels to minimizing client attrition.

White label embedded analytics, in particular, can be helpful for app developers. End customers benefit from white-label analytics solutions in a variety of ways, including a more aesthetically appealing user experience and higher adoption. To have a white label embedded analytics tool is to have a tool that is easy to integrate into existing software, all without the usually third-party branding that is almost impossible to remove from non-white label tools.

Adding white-label features to your embedded analytics enhances the end-user experience while also helping your business remain ahead of the competition.

Yurbi’s embedded analytics platform has several sophisticated capabilities, including white-labeling.

What is GitHub?

GitHub is a center for over 73 million coders and developers to host and exchange codes in a cooperative and collaborative atmosphere, as the name indicates. It is the most popular source code server in the world, with over 28 million public repositories and various features such as access control, version control, and continuous integration for every project.

Top 11 Data Visualization Projects on GitHub (and What’s Best For Embedded Analytics)


Leaflet is a JavaScript library for making interactive maps that are mobile-friendly. Leaflet is built with the aims of simplicity, efficiency, and usability in mind. Its code is quite tiny. If Leaflet doesn’t contain the features you need right out of the box, it may also be customized with a variety of plugins. This is a great customizable option for embedded analytics.

Data Mining with R

This project is ideal for data miners who wish to improve their R skills. It comprises a series of lessons on how to use R for data mining tasks such as clustering, classification, and more. Although this isn’t precisely about embedded analytics, it’s still worth investigating.

Data Visualization with Python

This is a project to check at if you’re just starting with data visualization and embedded analytics. This project is ideal for data visualization fans who wish to brush up on their Python skills. It provides a series of lessons on how to use Python to generate data visualizations such as graphs and charts.


D3 is a data visualization library for HTML and SVG written in JavaScript. It attempts to bring data to life by integrating strong visualization tools with a data-driven approach to Document Object Model (DOM) manipulation, while also emphasizing online standards. D3 is by far the most popular data visualization project on GitHub, and it has a large following in the data science community.


eCharts is a charting and visualization library that runs in the browser. It aspires to be easy to use and adaptable, as well as intuitive and extremely configurable, like the other libraries on this list. eCharts is a JavaScript library like many others, except it is built on zrender, an original canvas framework for 2D charts.


Sigma is a graph drawing-focused JavaScript library. Developers may use Sigma to create graph representations on web pages and incorporate them into web apps. The resultant networks are visually appealing and encourage interaction.


MetricsGraphics.js is a JavaScript library based on D3, which is itself a JavaScript library. A distinguishing feature of MetricsGraphics is that it is optimized for time-series data. It has a tiny code base, which forces it to be principled. Line charts, scatterplots, histograms, bar charts, and other conventional graphic formats are all supported.


DC.js is a dimensional charting library based on D3.js that works with crossfilter natively. DC.js uses a CSS-friendly SVG format for rendering. It’s designed for sophisticated data analysis in both the browser and on mobile devices. This project now has over 4,500 star ratings and 1,150 forks.


Chartist is a remarkably lightweight JavaScript library. Although most of the libraries we’ve examined so far in this list are pretty similar, Chartist is still worth mentioning. Chartist distinguishes itself in the following ways: It does not reliant on canvas and prioritizes reactivity. It also strives to be less obnoxious than other solutions, according to its own description.


Vega is a type of visualization grammar project hosted on GitHub. Vega provides a declarative method for building and preserving interactive visualization designs. JSON is used to define data visualizations. HTML5 Canvas or SVG are used to create interactive views.


Epoch is a developer and visualization designer’s general-purpose library. It’s general-purpose and supports two types of visualization: simple charts for reporting historical data and real-time charts for displaying data that changes regularly. Epoch is an open-source JavaScript project.

These projects are mostly JavaScript-based and aimed at web development and data visualization in the browser. Without a question, data visualization and data science in general are becoming increasingly relevant. If you’re looking for a visualization tool that focuses on embedded analytics, Yurbi is a good option.

How Yurbi Can Help You with Embedded Analytics

Sure, you have these great data visualization tools for GitHub that would help your business thrive and prosper, but as mentioned earlier, Yurbi can be a great option for you if you need a data visualization tool that also focuses on embedded analytics.

While Yurbi is a commercial product, it costs a fraction of major embedded analytics tools and has a startup/small business friendly business model. Yurbi allows you to partner with an established BI firm, with priority support to help your team. Plus we aggressively improve the product per our roadmap, based on feedback from our customers.

Yurbi is designed with embedded analytics in mind, and with the goal of making custom reports and dashboards easy for your internal team, and your end users.

Data visualization is very important for many businesses, and Yurbi understands the need for tools that do just that. With its various features that provide many various options for different needs and preferences, you can integrate Yurbi into your software and business solutions without any hassles at all.

Consider Yurbi your one-stop shop for embedded analytics — and more.

Reach out to us through a meeting with our experts to discuss how Yurbi can help you bring forth success to your business operations. Better yet, you can also book a free live demo session to see how Yurbi works.

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