polylabel-pyo3
orjson
| polylabel-pyo3 | orjson | |
|---|---|---|
| 1 | 17 | |
| 3 | 5,588 | |
| - | - | |
| 0.0 | 8.3 | |
| about 2 years ago | 1 day ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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polylabel-pyo3
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What is the best way to setup Criterion to benchmark a mixed rust/python project?
If it doesn't need to be criterion, I'd go for pytest-benchmark. This project has a full fledged CI for that: https://github.com/MoonVision/polylabel-pyo3/tree/main/benchmarks
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.
What are some alternatives?
NURBS-Python - Object-oriented pure Python B-Spline and NURBS library
ujson
FastGeoTable - FastGeoTable is a PostGIS geospatial api to enable creating/editing geographical tables within a spatial database.
ormsgpack - Msgpack serialization/deserialization library for Python, written in Rust using PyO3 and rust-msgpack. Reboot of orjson. msgpack.org[Python]
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