ucall
jvm-serializers
| ucall | jvm-serializers | |
|---|---|---|
| 13 | 7 | |
| 990 | 3,275 | |
| 1.6% | - | |
| 6.4 | 4.4 | |
| 19 days ago | 7 months ago | |
| C | 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.
ucall
- Show HN: U)Search Images demo in 200 lines of Python
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Faster JSON-RPC on Linux kernel 5.19+ with io_uring and simdjson
Type checking was included, and union support is trivial to add. We have just added a feature request and will release it in a few days.
- FLiP Stack Weekly for 13 March 2023
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Show HN: Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19
You are right! For the convenience of Python users, we have to introspect the messages and parse JSON into Python objects. Every member of every dictionary being allocated on heap.
To make it as fast as possible we don't use PyBind, NanoBind, SWIG, or any high-level tooling. Our Python bindings are a pure CPython integration. There is just no way to beat that combo, not that I know.
https://github.com/unum-cloud/ujrpc/blob/main/src/python.c
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Lightweight RPC with `simdjson` and `io_uring` on Linux 5.19 and newer
TLDR: UJRPC reaches 230K TCP/IP round-trips per second on 1 socket. Faster than gRPC and much faster than FastAPI.
- Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19+
jvm-serializers
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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
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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.
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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.
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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...
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Scala 3.0 serialization
You could use any of the JVM serialisers which should still work.
What are some alternatives?
frontman - Frontman is an open-source API gateway written in Go that allows you to manage your microservices and expose them as a single API endpoint. It acts as a reverse proxy and handles requests from clients, routing them to the appropriate backend service.
fury-benchmarks - Serialization Benchmarks for fury with other libraries
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
Apache Avro - Apache Avro is a data serialization system.
japronto - Screaming-fast Python 3.5+ HTTP toolkit integrated with pipelining HTTP server based on uvloop and picohttpparser.
zio-json - Fast, secure JSON library with tight ZIO integration.
simdjson - Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
opentelemetry-specificatio
FrameworkBenchmarks - Source for the TechEmpower Framework Benchmarks project
janino - Janino is a super-small, super-fast Java™ compiler.
Muonbase - Document Database
grpc-dotnet - gRPC for .NET