The following diagram shows the relative percentage of the top 10 CI tools used with, based on the most used commit status contexts used within our pull requests.
We’ve also analyzed the use of CI tools across more than 50 million repositories in the GitHub community, and found a lot of variety. Many show the status of their integrated CI/CD tools as badges in their README.md. If you need a little inspiration for which CI tool might work best, take a look at popular GitHub projects. For example, if you like to test small applications written in a particular programming language for one platform, you won’t need the complexity of a tool that tests embedded software controllers on dozens of platforms with a broad mix of programming languages and frameworks. The people who build them have to choose which use cases to serve best-and when to prioritize complexity over simplicity. Of course, it isn’t possible to optimize your CI tool for all of these scenarios. Geographic distribution of dependent systems and the people who use them.Scaling capabilities and plans for growth.Operating system and browsers you plan to support.Programming language and application architecture.The tools that will work best for you depends on many factors, including: With so many options, you can pick the best tool for the job-even if it’s not the one that comes pre-integrated with your system. There are several CI and CD tools that integrate with GitHub, some of which you can install in a few clicks from GitHub Marketplace. Combined with continuous delivery ( CD) tools, you can also test your code on multiple configurations, run additional performance tests, and automate every step until production. Continuous Integration ( CI) tools help you stick to your team’s quality standards by running tests every time you push a new commit and reporting the results to a pull request.
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