simdjson-go
japronto
| simdjson-go | japronto | |
|---|---|---|
| 6 | 3 | |
| 1,761 | 8,623 | |
| 0.7% | - | |
| 4.0 | 0.0 | |
| 6 months ago | 9 months ago | |
| Go | C | |
| Apache License 2.0 | MIT License |
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.
simdjson-go
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Show HN: Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19
Speaking of Go, there's a simdjson implementation for golang too:
> Performance wise, simdjson-go runs on average at about 40% to 60% of the speed of simdjson. Compared to Golang's standard package encoding/json, simdjson-go is about 10x faster.
I haven't tried it yet but I don't really need that speed.
https://github.com/minio/simdjson-go
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How to Use AVX512 in Golang
I agree. For performance-sensitive situations, C/C++ or Rust is the only choice. However, many developers choose Go or other languages for engineering efficiency. A typical use case of SIMD in Go is simdjson-go. Besides, there are plenty of bindings and ports of simdjson. "Other languages" developers also need performance improvement from native instructions such as SIMD.
- Sonic: A fast JSON serializing and deserializing library
- Whats the fastest JSON unmarshaling package as of right now?
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What is the best solution to unique data in golang
I suggest to use a streaming library to parse your file. Like jstream or simdjson-go
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I wrote yet another json parser. It may be a contender for fastest.
You can also try comparing with https://github.com/minio/simdjson-go. It does use a different API, however, would be good to compare nevertheless.
japronto
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Show HN: Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19
100x faster than FastAPI seems easy. I wonder how it compares to other fast Python libraries like Japronto[1] and non-Python ones too.
1 - https://github.com/squeaky-pl/japronto
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A Look on Python Web Performance at the end of 2022
The source code from the project resides in the github, with more than 8.6k stars and 596 forks is a very popular github, but no new releases are made since 2018, looks pure much not maintained anymore, no PR's are accepted no Issues are closed, still without windows or macOS Silicon, or PyPy3 support. Japronto it self uses uvloop with more than 9k stars and 521 forks and different from japronto is seems to be well maintained.
- Screaming-fast, scalable, asynchronous Python 3.5 HTTP toolkit
What are some alternatives?
easyjson - Fast JSON serializer for golang.
socketify.py - Bringing Http/Https and WebSockets High Performance servers for PyPy3 and Python3
jstream - Streaming JSON parser for Go
vibora - Fast, asynchronous and elegant Python web framework.
jsonparser - One of the fastest alternative JSON parser for Go that does not require schema
yyjson - The fastest JSON library in C
sonic - A blazingly fast JSON serializing & deserializing library
oha - Ohayou(おはよう), HTTP load generator, inspired by rakyll/hey with tui animation.
jsonlite - A simple, self-contained, serverless, zero-configuration, json document store.
json_benchmark - Python JSON benchmarking and "correctness".
rjson - A fast json parser for go
json-buffet