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5 projects | reddit.com/r/emacs | 23 May 2022
You are aware of simdjson being available in python if you really need some json crunching, albeit json module in Python is implemented in C itself, so I don't think understand why do you think Python is slow there?
The fastest tool for querying large JSON files is written in Python (benchmark)
16 projects | news.ycombinator.com | 12 Apr 2022
json: 113.79130696877837 ms
While `orjson`, is faster than `ujson`/`json` here, it's only ~6% faster (in this benchmark). `simdjson` and `msgspec` (my library, see https://jcristharif.com/msgspec/) are much faster due to them avoiding creating PyObjects for fields that are never used.
If spyql's query engine can determine the fields it will access statically before processing, you might find using `msgspec` for JSON gives a nice speedup (it'll also type check the JSON if you know the type of each field). If this information isn't known though, you may find using `pysimdjson` (https://pysimdjson.tkte.ch/) gives an easy speed boost, as it should be more of a drop-in for `orjson`.
How I cut GTA Online loading times by 70%
7 projects | reddit.com/r/programming | 28 Feb 2021
I don't think JSON is really the problem - parsing 10MB of JSON is not so slow. For example, using Python's json.load takes about 800ms for a 47MB file on my system, using something like simdjson cuts that down to ~70ms.
How to implement conditional model
1 project | reddit.com/r/flask | 6 Jul 2022
Either using meta programming: https://github.com/marshmallow-code/marshmallow/issues/585
Should I use SQLAlchemy for a side project?
2 projects | reddit.com/r/Python | 15 Jun 2022
You might be surprised how much I agree - I recently opened an issue there hoping to discuss something like this (still awaiting response). https://github.com/marshmallow-code/marshmallow/issues/2000
The Pocket Guide To API Request Validation You Wish You Had Earlier
2 projects | dev.to | 6 Jan 2022
Project Althaia - looking for performance/accuracy feedback on my shallow fork of marshmallow
2 projects | reddit.com/r/Python | 3 Jan 2022
I created a shallow fork of everyone's favourite marshmallow, to work around some performance issues while dumping data. The performance gain I measured is around 45%, but since it's a bad idea to rely on one's own testing, I was hoping that there are some folks here who use marshmallow in their projects, and who would be willing to try it out. Doubly so if your project has some unit tests in it, to confirm that nothing is broken due to my patches.
What's the fastest way to parse JSON to output?
1 project | reddit.com/r/flask | 21 Feb 2021
I was looking at https://github.com/marshmallow-code/marshmallow That's a nice library to use to parsing?
Strict YAML deserialization in Python with marshmallow
3 projects | dev.to | 27 Jan 2021
I found a recommendation to use marshmallow to parse dict generated from JSON object. I decided that these cases are the same as mine only uses JSON instead of YAML. And so I tried to use class_schema generator for dataclass schema:
What are some alternatives?
Fast JSON schema for Python - Fast JSON schema validator for Python.
serpy - ridiculously fast object serialization
cattrs - Complex custom class converters for attrs.
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings
WTForms - A flexible forms validation and rendering library for Python.
Trafaret - Ultimate transformation library that supports validation, contexts and aiohttp.
jsonschema - JSON Schema validation library
jsons - 🐍 A Python lib for (de)serializing Python objects to/from JSON
lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)
hjson-py - Hjson for Python
orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
PyLD - JSON-LD processor written in Python