dagger-for-github
Dagger2
dagger-for-github | Dagger2 | |
---|---|---|
2 | 50 | |
93 | 17,317 | |
- | 0.2% | |
0.0 | 9.1 | |
10 months ago | 3 days ago | |
TypeScript | Java | |
Apache License 2.0 | Apache License 2.0 |
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.
dagger-for-github
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Use Docker to build better CI/CD pipelines with Dagger
The Dockerized design also allows pipelines made with Dagger devkit to be run in every CI/CD runtime environment like, for example, Github Action (using the official Dagger Github Action from the marketplace). Furthermore, it can also be run independently of the architecture of the platform. The only requirement is the Docker ecosystem support. So it can be run on a managed runner (eg. Github Runners), a self-hosted runner, a local machine, a serverless compute instance, etc.
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Dagger: a new way to build CI/CD pipelines
Fun dact, Crazy Max is the author of the Github Action for Dagger :) https://github.com/dagger/dagger-for-github
Dagger2
- Dagger 2.49 (KSP, @AssistedInject with @HiltViewModel, more)
- Dagger 2.48 adds alpha KSP support
- Dagger KSP update & Breaking changes required to use Dagger KSP
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Performance and memory impact of the @Singleton annotation in Dagger
There used to be a thing called "releasable references" which was that. It was removed, though: https://github.com/google/dagger/issues/1117
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Dependency injection with AWS Lambdas in java
As said in the title, we will focus on the dependency inversion principle and one of its application : dependency injection. For production-ready applications, it would be better to rely on a framework and not implement its own container. For it, the java ecosystem have 3 frameworks available : Spring, Guice and Dagger.
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Refactoring our Dependency Injection using Anvil
At Reddit, we use Dagger 2 for handling dependency injection (DI) in our Android application. As we’ve scaled the application over the years, we’ve accrued a bit of technical debt in how we have approached this problem.
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Dagger Python SDK: Develop Your CI/CD Pipelines as Code
Confusing. I initially thought someone ported the Dagger DI framework to Python: https://dagger.dev/
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Multiplatform dependency injection libraries equivalent to Dagger/Anvil
I'm currently using Dagger and Anvil for my DI needs. It's been working really well, especially around what Anvil permits in terms of multibindings defined on the type declaration rather than in a module. For example:
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Dagger 2.43 released with support for multiple instances of the same ViewModel using keys 🎉
Great job, I have been waiting for this feature/fix for a long time https://github.com/google/dagger/issues/2328
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Best libraries for Android Developers
Dagger
What are some alternatives?
earthly - Super simple build framework with fast, repeatable builds and an instantly familiar syntax – like Dockerfile and Makefile had a baby.
Guice - Guice (pronounced 'juice') is a lightweight dependency injection framework for Java 11 and above, brought to you by Google.
pipeline - A cloud-native Pipeline resource.
Toothpick - A scope tree based Dependency Injection (DI) library for Java / Kotlin / Android.
Dagger.jl - A framework for out-of-core and parallel execution
Weld - Weld, including integrations for Servlet containers and Java SE, examples and documentation
dagster - An orchestration platform for the development, production, and observation of data assets.
butterknife - Bind Android views and callbacks to fields and methods.
cue - The home of the CUE language! Validate and define text-based and dynamic configuration
HK2
cloak - Secrets automation for developers
Dynamic CDI - Dynamic Context Dependency Injection