qs
Quick serialization of R objects (by qsbase)
fury
A blazingly fast multi-language serialization framework powered by JIT and zero-copy. (by apache)
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
qs
Posts with mentions or reviews of qs.
We have used some of these posts to build our list of alternatives
and similar projects.
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How to remove all columns except a select few with data.table?
My initial rec was to use the fst package, but I read the other thread and you said it's not compatible. qs works in a similar way / with similar performances and should be compatible with any R version > 3.0.2, but I have personally never used it.
fury
Posts with mentions or reviews of fury.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-02-20.
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2X compression ratio: Chunk based dynamic map serialization
Available since https://github.com/apache/fury/releases/tag/v0.10.0
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Inside `java.lang.String`: Understanding and Optimizing Instantiation Performance
When I read the source code of Apache Fury which is "a blazingly-fast multi-language serialization framework powered by JIT (just-in-time compilation) and zero-copy", I found their StringSerializer achieves zero copy String instantiation. Let's look into the implementation.
- Apache Fury: reflection free and 50x faster serialization framework for graalvm
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The sorry state of Java deserialization
Hi,
Please add https://github.com/apache/fury to the benchmark. It claims to be a drop-in replacement for the built-in serialization mechanism so it should be easy to try.
- Apache Fury serialization Framework 0.7.1 released: better compatibility
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Apache Fury 0.6.0 Released: 6x faster and 1/2 payload smaller than protobuf
The code are located at:
1. https://github.com/apache/fury/blob/main/java/fury-core/src/...
- Apache Fury Serialization 0.5.1 released
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Rethinking string encoding: a 37.5% space efficient encoding than UTF-8 in Fury
For implemetation details, https://github.com/apache/incubator-fury/blob/main/java/fury... can be taken as an example
- Apache Fury – fast serialization framework – 0.5.0 released
- Fast Cloud Native Java Serialization:Fury JIT and GraalVM Native Image AOT
What are some alternatives?
When comparing qs and fury you can also consider the following projects:
RMySQL - Legacy DBI interface for MySQL
grpc-dotnet - gRPC for .NET
Turbo-Range-Coder - TurboRC - Fastest Range Coder + Arithmetic Coding / Fastest Asymmetric Numeral Systems
MemoryPack - Zero encoding extreme performance binary serializer for C# and Unity.
Turbo-Base64 - Turbo Base64 - Fastest Base64 SIMD:SSE/AVX2/AVX512/Neon/Altivec - Faster than memcpy!
feldera - The Feldera Incremental Computation Engine