skunk
Play
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skunk | Play | |
---|---|---|
4 | 31 | |
1,549 | 12,508 | |
1.5% | 0.2% | |
9.2 | 9.7 | |
3 days ago | about 10 hours ago | |
Scala | Scala | |
MIT License | 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.
skunk
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New to Scala;
The major performance issue with Skunk is tracked here. tl;dr prepared statements currently take a horrifying number of network round-trips to the database. I'm sympathetic to Rob's "what you see is what you get" priorities for Skunk. But I'm glad to see an outline of a plan that sounds like it would satisfy those objectives without being so, for lack of a better term, naïve in their pursuit.
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Pleasant to use Scala libraries
The same creator is working on skunk, which is very exciting. Only works for Postgres though.
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Zio / Zionomicon : is it worth it ?
The libraries doobie and skunk are more closely associated with cats. They both use cats-effect and fs2 for implementing database connectiona and input-output operations. The doobie library is a wrapper on JDBC, and as such is compatible with many DBMS, such as MySQL, PostgreSQL, H2, Oracle... Whereas skunk is specific to PostgreSQL, and is based on using the server protocol of that database.
Play
- Play Framework 2.9.0 Release Candidate
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Reflex – Web apps in pure Python
My major complain here is that, as far as being a web framework there is precious little information here about the framework. How does this framework scale with multiple requests? What concurrency strategy is it using (threads, processes, actors, etc?). Is this opinionated (it doesn't seem so but it also doesn't say it isn't either). How does this work with popular libraries x,y,z. The full docs have a little bit more information, but not a ton. But mostly there are some cute toy examples and "built in python" and thats about it.
Lets compare this with for example play https://www.playframework.com/ I know from this that it built on Akka, its stateless, aims for predictable resource consumption, has non-blocking io, etc. There is a ton of really important information on what does this web framework actually do that is really important when you are making a choice of a framework.
I have no idea how good this framework is, but besides a few toy examples, I can't see anything that makes me thing "wow this is great I need to use this".
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Play (1) Linux manual page
A web application framework for Java/Scala: https://www.playframework.com/
- Scala opensource projects
- Play Framework for Java and Scala
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What is scala's modern Web API framework?
Scala 3 migration isn't as simple as migrating other apps, you can track the work at https://github.com/playframework/playframework/issues/11260
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How does web developement process compare to java web developement ?
And there are frameworks you can use to make development easier, like Play. And Java has plenty of choices for dependency injection frameworks.
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what library/framework should I use for backend development?
However do note, Play should be perfectly usable as well, and it's still maintained by the community: https://github.com/playframework/playframework/issues/11649
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Why I selected Elixir and Phoenix as my main stack
In university I learned a bit of Java, so maybe I could use it professionally I guess?. There were many options to choose from. DropWizard, Spark, Play Framework. But the more documented one in the internet I found was Springboot, besides there were some courses in spanish and some friends that knew something about Springboot, so I give it a chance.
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Right way to use AWS & Scala
For a backend web server I use Play - https://www.playframework.com/ which I find to be the easiest one as a backend web server. For learning/using spark I found this course from coursera to be very useful. https://www.coursera.org/learn/scala-spark-big-data
What are some alternatives?
doobie - Functional JDBC layer for Scala.
Spring Boot - Spring Boot
doobie-quill - Integration between Doobie and Quill libraries
Scalatra - Tiny Scala high-performance, async web framework, inspired by Sinatra
zio-magic - Construct ZLayers automagically (w/ helpful compile-time errors)
Quarkus - Quarkus: Supersonic Subatomic Java.
fly4s - A lightweight, simple and functional wrapper of Flyway using cats effect.
Finatra - Fast, testable, Scala services built on TwitterServer and Finagle
pfps-examples - :izakaya_lantern: Standalone examples shown in the book "Practical FP in Scala: A hands-on approach"
Lift - Lift Framework
fs2-kafka - Functional Kafka Streams for Scala
Http4s - A minimal, idiomatic Scala interface for HTTP