Top 8 Scala Macro Projects
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or `NonUnitStatements` without explicit annotation.
This effectively locks you into writing pure code (you can extend the linter to cover other things like not using `Future` or not using Java libs outside of `MonadError` from cats[4]). The linters operate on typed ASTs at compile time, and have plugins for the most popular scala build tools. Coupled with `-XFatalWarnings', you can guarantee that nothing unexpected happens unless you explicitly pop the escape hatch, for the most part.
You can still bring in external libraries that haven't been compiled with these safties in place, so you aren't completely safe, but if you use ZIO[5]/Typelevel[6] libraries you can be reasonably assured of referentially transparent code in practice.
There are three schools of thought, roughly, in the scala community towards the depth of using the type system and linters to provide guarantees and capabilities, currently:
1) Don't attempt to do this, it makes the barrier to entry to high for Scala juniors. I don't understand this argument - you want to allow runtime footguns you could easily prevent at compile time because the verifiable techniques take time to learn? Why did you even choose to use a typesafe language and pay the compilation time penalty that comes with it?
2) Abstract everything to the smallest possible dependency interface, including effects (code to an effect runtime, F[_] that implements the methods your code needs to run - if you handle errors, F implements MonadError, if you output do concurrent things, F implements Concurrent, etc.) and you extend the effect with your own services using tagless final or free.
3) You still use effect wrappers, but you bind the whole project always to use a concrete effect type, avoiding event abstraction, thus making it easier to code, and limiting footguns to a very particular subset (mainly threadpool providers and unsafeRun or equivalent being called eagerly in the internals of applications).
My opinion is that smallest interface with effect guarantees (#2) is best for very large, long maintenance window apps where thechoice of effect runtime might change(app), or is out of the devs' control (lib); and #3 is best for small apps.
TL/DR; You can go a really, really long way to guaranteeing effects don't run in user code in scala. Not all the way like Haskell, but far enough that it's painful to code without conforming to referential transparency.
1. https://github.com/scalacenter/scalafix
2. https://github.com/scalaz/scalazzi
3. http://www.wartremover.org/
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Scout APM
Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
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Project mention: jsoniter-scala with Spark - feedback wanted | reddit.com/r/apachespark | 2021-11-18
Would extending of java.io.Serializable by its codecs and configs make it handier in use with Spark?
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I've updated results of benchmarks of 12 JSON parsers for Scala: - AVSystem's scala-commons - Borer - Circe - DSL-JSON - Jackson - jsoniter-scala - Play-JSON, - play-json-jsoniter - Spray-JSON - uPickle - weePickle - zio-json
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scalingua
A simple gettext-like internationalization (aka i18n) library for Scala and Play Framework
Project mention: Is there a scala library to handle grammar in string messages? | reddit.com/r/scala | 2021-11-23Scalingua seems relevant https://github.com/makkarpov/scalingua
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Index
What are some of the best open-source Macro projects in Scala? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | Wartremover | 982 |
| 2 | Scala-Logging | 838 |
| 3 | Accord | 521 |
| 4 | jsoniter-scala | 456 |
| 5 | scala-commons | 75 |
| 6 | phobos | 69 |
| 7 | scalingua | 50 |
| 8 | pos | 22 |
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