GitHub hosts software for development and version control. The main repository can have many branches or forks. GitHub is widely used by developers to test code and to collaborate with other developers in the software development cycle. This article brings you the top 10 GitHub repositories.
Open source software (OSS) has been getting a lot of traction in recent years. Right now, there are approximately 200,000 open source projects worth billions of dollars, being worked on across the globe. Open source communities range from groups of ordinary people to associations of big companies.
In this article, we will go through the ten most popular open source repositories on GitHub this year.
This is one of the biggest repositories on GitHub because it offers newcomers the means to learn how to code effectively, for free. As the name suggests, it is a user-friendly and safe environment for coders to learn skills. Any learner can build his or her own project, learn to code and adopt best practices. Since its inception, the page has collected a massive 317,000 stars on GitHub. This community is the best example of OSS — a place where everyone can learn for free.
Visual Studio is a free source code editor developed by Microsoft for Windows, Linux and MacOS. It is an all-purpose code editor, and its focus is to provide developers with a single solution for all their coding needs, including editing and debugging. VS Code is an extremely well-liked open source repository on GitHub, with more than 107,000 stars and 19,000 contributors. This repository is used to work on code, and can also be used as a publishing platform. It gets updated every month with bug fixes, new features and some enhancements.
This software development kit (SDK) made by Google is one of the fastest-growing open source communities on GitHub. It permits applications to be developed from a single codebase with a user interface toolkit. The applications created by Flutter are attuned with PC and mobile platforms, and their appearance creates aesthetic and efficient end user experiences.
Flutter is pushed by Skia, and the hardware accelerated 2D graphics library by Android and Chrome. It also employs a layered architecture for building applications, which allows developers to flawlessly add text, graphics, video and animated content as overlays without disturbing the source code. It is compatible with OS and Android, offering flexibility to the developer.
The Flutter GitHub page has over 100,000 stars and is hugely popular among users and contributors alike.
This open source IT engine automates application operation and cloud provisioning. It was created in 2012 by AnsibleWorks, and is now owned by Red Hat. Ansible is developed in Python, is lightweight and has fast deployment. As Python is used to build most Linux and UNIX systems, getting Ansible up and running is very quick, and its agentless feature makes it easy to be set up and used. It can also be run from CLI commands without using configuration files such as reboot. For comparatively difficult tasks, its configuration is handled by the YAML syntax in the configuration file known as ‘playbook’. Ansible commands can be written in any programming language and sent over in JSON format. It has also recently started supporting Windows.
This powerful open source system was initially developed by Google for managing containerised applications in a cluster environment. Kubernetes was launched in 2014 after more than a decade of experience of running production workloads at Google with Google’s internal container cluster managers Borg and Omega. It aims to provide better ways of managing related and distributed components and services across varied infrastructures. Kubernetes has now become the de facto standard for deploying containerised applications at scale in private, public and hybrid cloud environments. The largest public cloud platforms — including AWS, Google Cloud, Azure, IBM Cloud and Oracle Cloud — now provide managed services for Kubernetes.
This is a popular open source machine learning (ML) platform. It contains a large number of useful libraries, tools, and community resources focused on making ML capabilities available for developers looking to use them in their projects. With TensorFlow, developers can easily create and deploy ML models as part of their application and also use them on their system, on the cloud or from a mobile platform.
Developed by experts working in the Google Brain team, the system is compatible with all major operating systems. This GitHub page has more than 150,000 stars and millions of active contributors. It is one of the biggest repositories on GitHub, used by developers worldwide for their projects.
This is a library of TypeScript type definitions maintained on GitHub. In this open source repository, developers can share and keep TypeScript type definitions for JS libraries. It mainly serves as a translator for JS developers to work with TypeScript. Using DefinitelyTyped and its declaration statements, they can discover TypeScript equivalents for existing JS libraries.
Developers can contribute to the repository by adding definitions, testing, making pull requests, and so on. This is an extremely popular page, with thousands of contributors and many times more users, as it directly helps developers with their work.
This is a cloud computing service developed by Microsoft. Basically, it offers services that can be used for building, testing, deploying, and hosting applications. It has a wide variety of top-of-the-line features essential for cloud computing services, including data analytics, DevOps, and many others. Developers can use Azure to handle data and open source their products.
The GitHub repository of Microsoft Azure is devoted to its open source documentation. The page calls developers to contribute to the project by giving feedbacks, reporting issues, and similar helpful ways. The page has more than 7000 contributors and is one of the most active repositories on the platform.
This open source home automation software is intended to be the central system for controlling smart homes. Home Assistant core application software is written in Python and its main aim is local control and privacy.