circe
jvm-serializers
Our great sponsors
circe | jvm-serializers | |
---|---|---|
12 | 7 | |
2,473 | 3,274 | |
0.4% | - | |
7.4 | 4.4 | |
4 days ago | 7 months ago | |
Scala | Java | |
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.
circe
-
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
-
What companies/startups are using Scala (open source projects on github)?
Circe adopters should be using Scala https://github.com/circe/circe
-
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.
-
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.
-
It's unsafe to depend on Typelevel Libraries
Circe tries to drop Scala 2.12 support in retaliation for not enough users paying them.
-
Building a REST API in Scala 3 using Iron and Cats
Circe: https://circe.github.io/circe/
-
[Circe] Renaming fields for value classes during decoding
PR for the same functionality in Scala3: https://github.com/circe/circe/pull/1800
-
Scala 3.0 serialization
Otherwise I tend to just use ZIO-JSON or Circe both of which have been updated for Scala 3.
-
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
jvm-serializers
-
Fury: 170x faster than JDK, fast serialization powered by JIT and Zero-copy
Compared with protobuf, fury is 3.2x faster. When comparing with avro, fury is 5.3x faster. Compared with flatbuffers, fury is 4.8x faster. See https://github.com/eishay/jvm-serializers/wiki for detailed benchmark data
-
The state of Java Object Serialization libraries in Q2 2023
First, there's benchmarks here if you haven't seen it: jvm-serializers. Not terribly scientific, but it's something. To make any decision, you really need to benchmark your own object graph and it's important to configure the serializer for your particular usage. Still, it is sort of useful for comparing frameworks. It would be interesting to see how Loial performs there. Ping me if you add it.
-
Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19+
It depends. Some binary encodings such as flatbuffer are actually slower than some JSON libraries. There's a wide range of performance even in the JSON libraries themselves. Generally the faster JSON libraries are the ones that work on a predefined schema and so are able to generate code specifically for that JSON.
-
Go standard library: structured, leveled logging
> I'm surprised this is up for debate.
I looked into logging in protobuf when I was seeing if there was a better binary encoding for ring-buffer logging, along the same lines as nanolog:
https://tersesystems.com/blog/2020/11/26/queryable-logging-w...
What I found was that it's typically not the binary encoding vs string encoding that makes a difference. The biggest factors are "is there a predefined schema", "is there a precompiler that will generate code for this schema", and "what is the complexity of the output format". With that in mind, if you are dealing with chaotic semi-structured data, JSON is pretty good, and actually faster than some binary encodings:
https://github.com/eishay/jvm-serializers/wiki/Newer-Results...
-
Scala 3.0 serialization
You could use any of the JVM serialisers which should still work.
What are some alternatives?
json4s - JSON library
fury-benchmarks - Serialization Benchmarks for fury with other libraries
spray-json - A lightweight, clean and simple JSON implementation in Scala
Apache Avro - Apache Avro is a data serialization system.
play-json
zio-json - Fast, secure JSON library with tight ZIO integration.
janino - Janino is a super-small, super-fast Java™ compiler.
jackson-module-scala - Add-on module for Jackson (https://github.com/FasterXML/jackson) to support Scala-specific datatypes
grpc-dotnet - gRPC for .NET
jsoniter-scala - Scala macros for compile-time generation of safe and ultra-fast JSON codecs
opentelemetry-specificatio