supersnappy
Dependency-free and performant Nim Snappy implementation. (by guzba)
jsony
A loose, direct to object json parser with hooks. (by treeform)
| supersnappy | jsony | |
|---|---|---|
| 1 | 4 | |
| 84 | 254 | |
| - | - | |
| 3.1 | 5.2 | |
| 8 months ago | 7 days ago | |
| Nim | Nim | |
| MIT License | MIT License |
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.
supersnappy
Posts with mentions or reviews of supersnappy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-14.
-
Why I enjoy using the Nim programming language at Reddit.
Another example of Nim being really fast is the supersnappy library. This library benchmarks faster than Google’s C or C++ Snappy implementation.
jsony
Posts with mentions or reviews of jsony.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-01.
-
Nim v2.0 Released
Nim's default json library is terrible in performance, but there're much faster drop-in replacements like jsony[1]. I'm not sure that's the main issue for low rank, but it's definitely one of them.
1. https://github.com/treeform/jsony
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Why I enjoy using the Nim programming language at Reddit.
One of the fastest things I have written in Nim is a JSON parsing library. Why is it fast? Well, it uses Nim’s metaprogramming to parse JSON directly into typed objects without any intermediate representations or any unnecessary memory allocations. This means I can skip parsing JSON into a dictionary representation and then converting from the dictionaries to the real typed objects.
- Setup a Website with Nim
-
Nim vs Python: json serialization performance
The nim stdlib's json(due to how it works) is relatively slow. Jsony Jason are some alternatives that are more performant and speeeedy.
What are some alternatives?
When comparing supersnappy and jsony you can also consider the following projects:
zippy - Pure Nim implementation of deflate, zlib, gzip and zip.
glfm - Wrapper of GLFM (OpenGL ES and input for iOS and Android) library for Nim.
shady - Nim to GPU shader language compiler and supporting utilities.
fungus - Object variants done like other langugaes
rearchiver - Prepare your Reaper project for archiving, converting WAV to FLAC and changing the RPP file accordingly
npeg - PEGs for Nim, another take
pixie - Full-featured 2d graphics library for Nim.
nim_python_json
html2karax - Converts static html to Karax in Nim
Snappy - A fast compressor/decompressor
jester - A sinatra-like web framework for Nim.