CircleCI might be a bit more popular than Bazel. We know about 63 links to it since March 2021 and only 61 links to Bazel. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Github Actions has many competitors in its category that allow you to run all kinds of code running on containers, such as Gitlab, Jenkins, CircleCI, etc. - Source: dev.to / about 5 hours ago
It will give you a possibility to find and solve problems faster, release more stable and higher quality products. Here we will use CircleCI, but you can use whatever you need (Jenkins, Travis CI, GitLab CI). - Source: dev.to / 7 days ago
CircleCI is a leading cloud-native CI/CD platform that empowers developers to rapidly build, test, and deploy their applications at scale. It is highly configurable and has rich integrations and performance optimization tools. These features have made it a favorite among modern development teams seeking agility and speed. - Source: dev.to / about 1 month ago
For instance, IDPs can automatically trigger a deployment process in Jenkins or CircleCI when a developer pushes code to a Git repository. - Source: dev.to / 2 months ago
CircleCI — Comprehensive free plan with all features included in a hosted CI/CD service for GitHub, GitLab, and BitBucket repositories. Multiple resource classes, Docker, Windows, Mac OS, ARM executors, local runners, test splitting, Docker Layer Caching, and other advanced CI/CD features. Free for up to 6000 minutes/month execution time, unlimited collaborators, 30 parallel jobs in private projects, and up to... - Source: dev.to / 4 months ago
Wow, if you curl it, there's a lot of boilerplate code there. Maybe built using Bazel? https://bazel.build. - Source: Hacker News / about 1 month ago
This is a problem that Bazel (https://bazel.build) solves in a very convenient way. You can just keep using the paths relative to the repository root, and as long as you properly declare your test needs that file it will access it without problems. Or you can use the runfile libraries to access them too. - Source: Hacker News / 3 months ago
When doing research for this lab exercise I looked at both vcpkg and conan. Both are package managers that would automate the installation and configuration of my program with its dependencies. However, when it came to releasing and sharing my program my options were limited. For example, the central public registry for conan packages is conan-center, but these packages are curated and the process is very... - Source: dev.to / 6 months ago
NOTE: I won’t mention SBT and Leiningen here because, with all due respect, they are niche build tools. I also won’t discuss Kobalt for the same reason (besides, it’s no longer actively maintained). Additionally, I won’t touch upon Bazel and Buck in this context, mainly because I’m not very familiar with them. If you have insights or comments about these tools, please feel free to share them in the comments 👇. - Source: dev.to / 6 months ago
> None of this solves C's only REAL problem (in my opinion) which is the lack of dependency management. Bazel solves this really nicely, I know some people have strong opinions on it but I cannot recommend it enough https://bazel.build/. - Source: Hacker News / 9 months ago
Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
CMake - CMake is an open-source, cross-platform family of tools designed to build, test and package software.
Travis CI - Focus on writing code. Let Travis CI take care of running your tests and deploying your apps.
Gradle - Accelerate developer productivity. Gradle helps teams build, automate and deliver better software, faster. DocsExplore the documentation of Gradle. Find installation ..
Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.
GNU Make - GNU Make is a tool which controls the generation of executables and other non-source files of a program from the program's source files.