iron
circe
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iron | circe | |
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20 | 12 | |
407 | 2,473 | |
- | 0.4% | |
8.3 | 7.4 | |
6 days ago | 7 days ago | |
Scala | Scala | |
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.
iron
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Make Invalid States Unrepresentable
Scala has quite good support for refined types across multiple libraries. A solution using the refined library might look something like
- Y-at-il icy gens que creere son propre project open source?
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Effect of Perceptual Load on Performance Within IDE in People with ADHD Symptoms
> The output you see is not generated by python.
Obviously, as running the code generates a very different output…
> It's generated by an external type checker.
I know.
But again, you didn't say that.
You said the above code "generates" this…
Maybe you've heard that by now somewhere: Words matter… ;-)
> The context is python. We're talking about python. I'm making a statement about python.
No, you made a statement about type checking. Here the full quote once again:
> The contents of a string can't be type checked and if all methods are defined this way on a class none of it can be checked.
Nothing in this statement is about Python.
All I did was just proving your words once again to be nonsense: You can statically dispatch (which involves static type checking!) just fine on strings. My (Scala) code is prove of this fact.
> There is literally nothing in my statement to indicate I'm making a general statement about type checking.
LOL. Do you actually know what you're writing? Once more:
> The contents of a string can't be type checked and if all methods are defined this way on a class none of it can be checked.
That's a general statement… It couldn't be even more general, actually.
> But I will say checking for the contents of a string is rare for a type checker to do. That is a general statement that is generally true.
Once again complete nonsense.
There are whole libraries doing more or less nothing else than handling singleton types.
Whole software layers utilize that! But I guess you never heard of static data validation…
https://github.com/Iltotore/iron
You have so little clue, but such a big mouth… That's so embarrassing.
A helpful tip: Stop spiting out maximally general claims (because these are almost always wrong!), and think about what you're actually writing.
What's in your fantasy, or what you "may have meant" is irrelevant!
> The guy made factually incorrect statements and so did you.
That's exactly what I'm talking about: You're a severe DK victim as it seems…
> It's just true that he's wrong.
No, actually you are wrong with almost every claim, like I've proven now several times. And this nonsense still didn't stop… Oh, boy!
> people shouldn't get worked up about someone else identifying a mistake.
Think about that once again. Especially in the context that it's you who is wrong here with almost everything you say.
And no, nobody is "pedantic". It only gets quite unrealistic that someone who doesn't even get banal prose straight would be able to write any code. Because the computer is actually very pedantic. And after production is on fire you can't just come to your boss and excuse yourself with "but I've meant this differently, just the stupid computer did again not understand what I've meant".
But to be honest this would actually explain:
> I've likely worked for more companies then you in the last 5 years or so due to my personality. I don't stay at one place for long.
I have some suspicions to why you don't stay anywhere for long… And yes, that would be indeed related to personality…
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Does the fthomas/refined library work differently in Scala 3?
You might want to check out Iron.
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Iron updates: turning opaque types into value objects
And there is a beginner-friendly ticket: Add alias for True constraint and IronType[A, True]
- Iron v2.1.0 is out!
- Design by contract - Preconditions and Postconditions - I'm really amazed with Scala.
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Restrict uses of annotation in Scala
Annotation is not the only way (and probably not the best IMHO) to do refined types. You might be interested in Iron in Scala 3 or Refined in Scala 2/3.
- Iron v2.0.0 Is Out
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Iron v2.0.0 is out 🎉
The second major version of Iron is out, featuring a complete rewrite on top of better foundations.
circe
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Database abstraction library which allows a clean domain model
Using Circe so I define some classes that contain my custom Encoder[BusinessObject] in a file and I use that whenever I want to save/store a record, or handle a web request or respose. I also represent my mongo queries as JSON objects that I can freely build then pass to the driver.
- Scala Library To Generate Case Classes for JSON
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What companies/startups are using Scala (open source projects on github)?
Circe adopters should be using Scala https://github.com/circe/circe
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what popular companies uses Scala?
If you look at Circe's github repo you will see a very large list of very recognizable companies, that should give you some idea. Circe isn't the ONLY Json parsing library, but it is probably the most popular, so - should give you a rough idea of the types and variety of companies using Scala.
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Every time I sit down to use an HTTP client and JSON parser, I get really frustrated
Has the worst error messages I've ever seen for a parser. "Attempt to decode value on failed cursor" is not helpful when all you have is missing fields. Has been an issue for 5 years.
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It's unsafe to depend on Typelevel Libraries
Circe tries to drop Scala 2.12 support in retaliation for not enough users paying them.
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Building a REST API in Scala 3 using Iron and Cats
Circe: https://circe.github.io/circe/
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[Circe] Renaming fields for value classes during decoding
PR for the same functionality in Scala3: https://github.com/circe/circe/pull/1800
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Scala 3.0 serialization
Otherwise I tend to just use ZIO-JSON or Circe both of which have been updated for Scala 3.
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Performance of 12 JSON parsers for Scala
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
What are some alternatives?
scala-3-migration-guide - The Scala 3 migration guide for everyone.
json4s - JSON library
Troy - Type-safe and Schema-safe Scala wrapper for Cassandra driver
spray-json - A lightweight, clean and simple JSON implementation in Scala
iron-cats-example - An example project using Iron & Cats
play-json
refined - Refinement types for Scala
zio-json - Fast, secure JSON library with tight ZIO integration.
scala-redis - A scala library for connecting to a redis server, or a cluster of redis nodes using consistent hashing on the client side.
jackson-module-scala - Add-on module for Jackson (https://github.com/FasterXML/jackson) to support Scala-specific datatypes
longevity - A Persistence Framework for Scala and NoSQL
jsoniter-scala - Scala macros for compile-time generation of safe and ultra-fast JSON codecs