jsons VS ultrajson

Compare jsons vs ultrajson and see what are their differences.

jsons

🐍 A Python lib for (de)serializing Python objects to/from JSON (by ramonhagenaars)

ultrajson

Ultra fast JSON decoder and encoder written in C with Python bindings (by ultrajson)
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jsons ultrajson
0 2
241 3,796
- 1.6%
4.7 8.9
about 1 month ago 9 days ago
Python C
MIT License GNU General Public License v3.0 or later
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.
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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.

jsons

Posts with mentions or reviews of jsons. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning jsons yet.
Tracking mentions began in Dec 2020.

ultrajson

Posts with mentions or reviews of ultrajson. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-25.
  • Benchmarking Python JSON serializers - json vs ujson vs orjson
    2 projects | dev.to | 25 May 2022
    For most cases, you would want to go with python’s standard json library which removes dependencies on other libraries. On other hand you could try out ujsonwhich is simple replacement for python’s json library. If you want more speed and also want dataclass, datetime, numpy, and UUID instances and you are ready to deal with more complex code, then you can try your hands on orjson
  • The fastest tool for querying large JSON files is written in Python (benchmark)
    16 projects | news.ycombinator.com | 12 Apr 2022
    I asked about this on the Github issue regarding these benchmarks as well.

    I'm curious as to why libraries like ultrajson[0] and orjson[1] weren't explored. They aren't command line tools, but neither is pandas right? Is it perhaps because the code required to implement the challenges is large enough that they are considered too inconvenient to use through the same way pandas was used (ie, `python -c "..."`)?

    [0] https://github.com/ultrajson/ultrajson

What are some alternatives?

When comparing jsons and ultrajson you can also consider the following projects:

marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.

greenpass-covid19-qrcode-decoder - An easy tool for decoding Green Pass Covid-19 QrCode

serpy - ridiculously fast object serialization

python-rapidjson - Python wrapper around rapidjson

Fast JSON schema for Python - Fast JSON schema validator for Python.

PyLD - JSON-LD processor written in Python

pysimdjson - Python bindings for the simdjson project.

lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)

hjson-py - Hjson for Python

RDFLib plugin providing JSON-LD parsing and serialization - JSON-LD parser and serializer plugins for RDFLib