orjson
jsonlines
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orjson
- JSON dans les projets data science : Trucs & Astuces
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JSON in data science projects: tips & tricks
orjson is the fastest JSON library available for python. It natively manages dataclass objects, datetime, numpy and UUID objects.
- Segunda linguagem
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Litestar 2.0
As we began venturing down that road, a few things emerged that would constitute significant changes to some of the core parts of Litestar, but there were two things in particular that started a chain reaction of changes by opening up further possibilities: The new DTOs and our switch from orjson to msgspec.
- orjson: Fast, correct Python JSON lib (supports dataclasses, datetimes, numpy)
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Starlite development updates January ’23
In version 1.45.0, we introduced msgspec as our serialization backend, replacing orjson. This had some immediate performance benefits, but that's not the main reason we made the switch.
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Making Python classes serializable to/from JSON
Doesn't orjson do that already?
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Processing JSON 2.5x faster than simdjson with msgspec
orjson
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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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Json.dump new line with multiple values in key value pair.
Try https://github.com/ijl/orjson. Not exactly sure if that can help.
jsonlines
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FLaNK AI Weekly for 29 April 2024
JSON Lines (JSONL) https://jsonlines.org/
- Show HN: ZSV (Zip Separated Values)
- Domain ndjson.org expired and it's hosting malware now
- JSON dans les projets data science : Trucs & Astuces
-
JSON in data science projects: tips & tricks
This can be remedied by using the [JSON Lines] format (https://jsonlines.org/). This involves nothing more and nothing less than placing one JSON object per line, so that you can browse the objects without having to parse the entire collection all at once.
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Documentation for the JSON Lines text file format
> MIME type may be application/jsonl, but this is not yet standardized; any help writing the RFC would be greatly appreciated (see issue[0]).
[0] https://github.com/wardi/jsonlines/issues/19
What are some alternatives?
ujson
zsvutil - ZSV Utility for converting csv/tsv to/from zip-separated-values
ormsgpack - Msgpack serialization/deserialization library for Python, written in Rust using PyO3 and rust-msgpack. Reboot of orjson. msgpack.org[Python]
ndjson-spec - Specification
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
pysimdjson - Python bindings for the simdjson project.
cookiecutter-fastapi-firestore
mashumaro - Fast and well tested serialization library
dacite - Simple creation of data classes from dictionaries.
compare-go-json - A comparison of several go JSON packages.
yapic.json - Ultra fast json encode / decode library for Python 3.5+
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings