jsonpickle
orjson
| jsonpickle | orjson | |
|---|---|---|
| 3 | 17 | |
| 1,217 | 5,572 | |
| 1.3% | - | |
| 9.1 | 8.3 | |
| 5 days ago | 8 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
jsonpickle
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Show HN: Mutuple – Replace items in Python's "immutable" tuples
While I mostly wrote `mutuple` for fun, it's also a proof of concept for solving a tricky pickling problem in the jsonpickle[1] library: restoring object graphs that contain tuples with back-references to the same tuple.
I'm pretty sure there are better ways of handling this edge case, but, hey, it works and was a pretty fun experiment.
[1] https://github.com/jsonpickle/jsonpickle/pull/491
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For fun, I created a library to serialize / deserialize any python object into JSON
How it's different than jsonpickle?
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Thoughts on custom implementation around 3rd party libraries?
One specific use case that I've encountered was with the jsonpickle library where we inherit from the pickler and change a lot of the internal methods.
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?
picklejson - A library allowing the user to serialize any python object into JSON
ujson
srsly - 🦉 Modern high-performance serialization utilities for Python (JSON, MessagePack, Pickle)
ormsgpack - Msgpack serialization/deserialization library for Python, written in Rust using PyO3 and rust-msgpack. Reboot of orjson. msgpack.org[Python]
PyFLP - FL Studio project file parser
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
rememberer - Rememberer is a python package to help your functions remember their previous results.
pysimdjson - Python bindings for the simdjson project.
cookiecutter-fastapi-firestore
mashumaro - Fast and well tested serialization library