Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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Modern CI Is Too Complex and Misdirected
> Bazel has remote execution and remote caching as built-in features. Hey - those are built-in features of modern CI systems too! So here's a thought experiment: if I define a build system in Bazel and then define a server-side Git push hook so the remote server triggers Bazel to build, run tests, and post the results somewhere, is that a CI system? I think it is! A crude one. But I think that qualifies as a CI system.
Bazel can be a pain. Integration with external package managers is unnatural, hermetic toolchains are tricky, naively-written rules end up using system-provided utilities, breaking reproducibility.
But the remote execution API (besides feeling like magic) lets you treat your CI as "just another user" by design, unning the same `bazel test //...` or whatever else. This means
- the CI DSL/YAML files tend to have mostly publishing and other CI-specific information in then (this feels right)
- you get to debug your build pipeline locally
- you are actually testing the ability of a new user to pull the repo, build, and have everything just work. There is no special CI build environment that users implicit have to match.
- tangentially: the remote execution API is beautiful in its simplicity:
https://github.com/bazelbuild-remote-apis/blob/master/build/...
mkdkr
- Unpopular opinion: CI/CD engines are an awful idea
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Write Gitlab CI Pipelines in Python Code
My main problem is running the job/step locally and not wait to CI steps to validate some change.
My solution is: https://github.com/rosineygp/mkdkr
I can write somethings like this:
```Makefile
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Modern CI Is Too Complex and Misdirected
I just put it in a small solution that I can run in a lot of CI platforms.
https://github.com/rosineygp/mkdkr
in another words: https://xkcd.com/927/
What are some alternatives?
runner - The Runner for GitHub Actions :rocket:
drone - Gitness is an Open Source developer platform with Source Control management, Continuous Integration and Continuous Delivery. [Moved to: https://github.com/harness/gitness]
actions-runner-controller - Kubernetes controller for GitHub Actions self-hosted runners
NUKE - 🏗 The AKEless Build System for C#/.NET
troposphere - troposphere - Python library to create AWS CloudFormation descriptions
dashboard - A dashboard for Tekton!
glci - 🦊 Test your Gitlab CI Pipelines changes locally using Docker.
gitlab-ci-python-library
www-gitlab-com
typescript-action - Create a TypeScript Action with tests, linting, workflow, publishing, and versioning