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Tracking mentions began in Dec 2020.
Processing JSON 2.5x faster than simdjson with msgspec
5 projects | reddit.com/r/Python | 3 Oct 2022
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 and orjson 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 "..."`)?
What are some alternatives?
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
python-rapidjson - Python wrapper around rapidjson
Fast JSON schema for Python - Fast JSON schema validator for Python.
serpy - ridiculously fast object serialization
pysimdjson - Python bindings for the simdjson project.
PyLD - JSON-LD processor written in Python
hjson-py - Hjson for Python
lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)