yplatform
Dagger2
yplatform | Dagger2 | |
---|---|---|
5 | 50 | |
17 | 17,317 | |
- | 0.2% | |
7.8 | 9.1 | |
6 months ago | 3 days ago | |
Shell | 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.
yplatform
- Dagger: a new way to build CI/CD pipelines
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I Prefer Makefiles over Package.json Scripts
Nowadays there's Windows Subsystem for Linux. There's no excuse not to successfully run "Linux" scripts on Windows.
I've been running very complex build systems via https://github.com/ysoftwareab/yplatform (disclaimer: author here) since 2016 on Linux, Mac and Windows without a problem.
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Autodocumenting Makefiles
This is exactly my experience which lead me to create https://github.com/ysoftwareab/yplatform - with a consistent make interface https://github.com/ysoftwareab/yplatform/tree/master/build.m...
PS: quite feature complete but not yet well marketed so to speak. I'm actually recording an asciinema session this week in order for a visitor to grasp quicker the mentioned benefits.
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?
SheetJS js-xlsx - 📗 SheetJS Spreadsheet Data Toolkit -- New home https://git.sheetjs.com/SheetJS/sheetjs
Guice - Guice (pronounced 'juice') is a lightweight dependency injection framework for Java 11 and above, brought to you by Google.
quickjs-emscripten - Safely execute untrusted Javascript in your Javascript, and execute synchronous code that uses async functions
Toothpick - A scope tree based Dependency Injection (DI) library for Java / Kotlin / Android.
just - 🤖 Just a command runner
Weld - Weld, including integrations for Servlet containers and Java SE, examples and documentation
dvc - 🦉 ML Experiments and Data Management with Git
butterknife - Bind Android views and callbacks to fields and methods.
dagger - Application Delivery as Code that Runs Anywhere
HK2
Scoop - A command-line installer for Windows.
Dynamic CDI - Dynamic Context Dependency Injection