⚡ CI/CD Tools in China

Continuous Integration and Continuous Delivery (CI/CD) is a software development practice that helps teams integrate code changes, build applications, run tests, and prepare them for deployment, enabling frequent and reliable releases.

China is an East Asian country with a population of around 1.4 billion people.

According to our statistics, CI/CD tools are detected on 2.2% of websites from China.

⭐ Most Popular in 2026

The following chart shows the top CI/CD tools in China in 2026, based on market share.

The most popular is GitHub, which dominates the market with an overwhelming 99.2% share.
It is followed by GitLab with 0.9% and Bitbucket with 0.2%.

🚀 Highlights

Here is a list of the top tools that are more popular in China than worldwide.
Differences between global and country rankings are shown in parentheses.

✨ Best CI/CD Tools

Below is a more detailed list of 5 CI/CD tools used on sites from China, ranked by their market share.

RankNameMarket share
1
GitHub
San Francisco, California, United States

A cloud-based platform for code hosting, version control, and collaborative software development built around the Git system and owned by Microsoft.

Free$4+/user/month
2
GitLab
San Francisco, California, United States

A web-based DevOps platform for collaborative software development, project management, source control, and automation built around the Git system.

Free$29+/user/month
3
Bitbucket
Sydney, Australia

A Git-based code hosting and collaboration platform for professional teams that supports repository management, code review, and built-in CI/CD workflows.

Free$3.30+/user/month
4
Travis CI
Berlin, Germany

A cloud-based continuous integration and continuous delivery platform that integrates with GitHub, Bitbucket, and GitLab.

Free tier$15+/month
5
Gitea
Lewes, Delaware, United States

An open-source Git-based platform written in Go for hosting source code and managing software development projects, originally created as a fork of Gogs.

FreeOpen source$9.5+/user/month

👉 See Also

🗃️ About This Data