circe
cats
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circe | cats | |
---|---|---|
12 | 43 | |
2,473 | 5,171 | |
0.4% | 0.8% | |
7.4 | 8.9 | |
6 days ago | 4 days ago | |
Scala | Scala | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
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
cats
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Beware of teammates who refactor code based on personal taste without proper documentation or completeness. Sounds familiar.
A functional programming library: https://typelevel.org/cats/
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Is Scala worth learning in 2023?
Learn something that pays the bill first - nowadays it's Golang/Rust react/typescript. Then you can try some pure fp libs like fp-ts and fp-core.rs, and look through existing scala cats docs. If you'll feel bad about it - that's totally fine and expectable, fp takes a paradigm shift and not that many dev able to shift their brains way of thought due to basic psychological rigidity) (inability to change habits and to modify concepts/attitudes once developed). And that's purely a staffing and management issue - folks hired randoms out of the blue, and called 'em a team.
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Going into year 2 of Software Development Foundation Degree, have a particular liking for OOP and SQL, any tips, info or pointers on where to go from there?
I'm sorry, but have you ever done functional programming for a real company, like in a functional programming language like Haskell, Scala, or F#? Have you ever used Scala cats or scalaz? Have you ever learned category theory and how to apply its abstractions in software? Listen u/judethedude2106 this person hasn't gone as far down the functional programming rabbit hole as I have. Beyond learning the basics like the difference between pure and impure functions, what are closures, what higher order functions are and the most common ones like .map, .filter, and .flatmap, the immutable collections like immutable linked lists and trees, and what a Monad is and common monads like those used for futures/promises, async programming, and Option (Some or None, which is used instead of null checking), the more advanced functional programming stuff like category theory based abstractions are totally useless for real jobs and is just a giant time suck. Don't waste years on functional programming, spend at most a few months on it and no more.
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rsmonad: Monads in stable Rust (+ Applicative, Alternative, Functor, Monoid, ...)
As a former functional programmer in Scala, please do not go deep into the Category Theory programming. Scala has libraries like this one called "Cats", a cute shortened name for "Category Theory", but code that makes heavy use of these constructs is not understandable to other programmers. Other than using Monads as a design pattern for things like Options (which can be "Some" or "None"), Futures or Promises (which is used for asynchronous programming), and a few other things, please do not make heavy use of category theory constructs in real programming projects that will have other developers working on them. It is a rabbit hole that may be fun but is not super practical. Sure, write pure functions without side effects, but do not use the words "Bimonad", "Invariant Monoidal", and "Semigroup" in your code. The most common, practical application/use of functional programming is basic things like closures, .map, .filter, maybe chaining maps with like a .flatmap or whatever your programming language uses instead of chain or flatmap, and SQL that uses keywords like WHERE which can be represented in code by using a call to .filter. Like the place where these constructs are used most is in data processing like with SQL, ETL (Extract Transform, Load) jobs, Java's MapReduce on Hadoop, Scala's Apache Spark, and other data processing type things. Haskell is not a popular programming language in real world projects for a number of reasons and one of them is the heavy and sometimes impractical use of Category Theory.
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Tmux, NeoVim, etc. to write pure Kotlin code?
At a previous job of mine we actually had an entirely pure Scala ecosystem using cats which instead uses typeclasses, referential transparency, and other FP concepts as the foundations for how to code. So a lot of flexibility to the language.
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[E => *] Type
Thanks! It's used heavily here
- for comprehension and some questions
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Ask HN: How has functional programming influenced your thinking?
I did work in Scala for a few years. We employed Cats[1], and even a bit of Matryoshka[2] though most of the work I do today is in Python.
Nowadays I think about computational requirements in terms of relations among behavioral dependencies. Like, "I want to perform operation O on input A and return a B. To do this, I'll need a way to a -> b and a way to b -> b -> b." I often pass these behavioral dependencies in as arguments and it tends to make the inner core of my programs pretty abstract and built up as layers of specificity.
Zooming out nearly all the way, it makes me feel tethered in a qualitatively unique way to certain deep truths of the universe. In a Platonic sense, invoking certain ideas like a monad make me feel like I'm approaching the divine or at least one instantiation of a timeless universal that operates outside of material existence.
I'd imagine some mathematicians might see the universe in a similar way - one where immortal relations between ontological forms exist beyond time and space and at the same time can be threaded through the material world by intellectual observation and when those two meet a beautiful collision occurs.
1. https://typelevel.org/cats/
2. https://github.com/precog/matryoshka
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yet another post about type classes in Scala
Our second type class example attempted to illustrate one last perk: type safety at compile time. It did so with a simplified example of the cats core library for type safety equality comparison between objects. If you're not familiar with cats, go ahead and give it go.
- What are the design principles of Cargo?
What are some alternatives?
json4s - JSON library
Scalaz - Principled Functional Programming in Scala
spray-json - A lightweight, clean and simple JSON implementation in Scala
Shapeless - Generic programming for Scala
play-json
ZIO - ZIO — A type-safe, composable library for async and concurrent programming in Scala
zio-json - Fast, secure JSON library with tight ZIO integration.
ScalaTest - A testing tool for Scala and Java developers
jackson-module-scala - Add-on module for Jackson (https://github.com/FasterXML/jackson) to support Scala-specific datatypes
Monocle - Optics library for Scala
jsoniter-scala - Scala macros for compile-time generation of safe and ultra-fast JSON codecs
Scala Async - An asynchronous programming facility for Scala