jsony
A loose, direct to object json parser with hooks. (by treeform)
nim_python_json
By x4204
| jsony | nim_python_json | |
|---|---|---|
| 4 | 1 | |
| 254 | 0 | |
| - | - | |
| 5.2 | 1.6 | |
| 18 days ago | over 2 years ago | |
| Nim | Nim | |
| 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.
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.
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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
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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.
nim_python_json
Posts with mentions or reviews of nim_python_json.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-27.
-
Nim vs Python: json serialization performance
I discovered nim recently and wanted to check what are the runtime differences for json serialization. For that I created a small program in both languages. Here is the repo: https://github.com/x4204/nim_python_json
What are some alternatives?
When comparing jsony and nim_python_json you can also consider the following projects:
supersnappy - Dependency-free and performant Nim Snappy implementation.
jason - JSON done right 🤦
glfm - Wrapper of GLFM (OpenGL ES and input for iOS and Android) library for Nim.
fungus - Object variants done like other langugaes
npeg - PEGs for Nim, another take
html2karax - Converts static html to Karax in Nim
jester - A sinatra-like web framework for Nim.
zippy - Pure Nim implementation of deflate, zlib, gzip and zip.
mvb-opencv - Minimum Viable Bindings to OpenCV for Nim
redis - Official redis wrapper for Nim.
pixie - Full-featured 2d graphics library for Nim.
Snappy - A fast compressor/decompressor