ultrajson
serpy
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ultrajson | serpy | |
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3 | - | |
4,248 | 954 | |
0.8% | - | |
7.0 | 0.0 | |
25 days ago | over 3 years ago | |
C | Python | |
GNU General Public License v3.0 or later | MIT License |
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ultrajson
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Processing JSON 2.5x faster than simdjson with msgspec
ujson
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Benchmarking Python JSON serializers - json vs ujson vs orjson
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
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The fastest tool for querying large JSON files is written in Python (benchmark)
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
serpy
We haven't tracked posts mentioning serpy yet.
Tracking mentions began in Dec 2020.
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
cattrs - Composable custom class converters for attrs.
Fast JSON schema for Python - Fast JSON schema validator for Python.
jsons - 🐍 A Python lib for (de)serializing Python objects to/from JSON
python-rapidjson - Python wrapper around rapidjson
PyLD - JSON-LD processor written in Python
Trafaret - Ultimate transformation library that supports validation, contexts and aiohttp.
pysimdjson - Python bindings for the simdjson project.