dataconf
jsonpickle
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| dataconf | jsonpickle | |
|---|---|---|
| 1 | 3 | |
| 78 | 1,212 | |
| - | 1.9% | |
| 7.9 | 8.6 | |
| 17 days ago | 6 days ago | |
| Python | Python | |
| Mozilla Public License 2.0 | BSD 3-clause "New" or "Revised" License |
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dataconf
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.
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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.
What are some alternatives?
dataclasses-json - Easily serialize Data Classes to and from JSON
picklejson - A library allowing the user to serialize any python object into JSON
pyserde - Yet another serialization library on top of dataclasses, inspired by serde-rs.
srsly - 🦉 Modern high-performance serialization utilities for Python (JSON, MessagePack, Pickle)
py-object-factory - objectfactory is a python package to easily implement the factory design pattern for object creation, serialization, and polymorphism
PyFLP - FL Studio project file parser
apischema - JSON (de)serialization, GraphQL and JSON schema generation using Python typing.
rememberer - Rememberer is a python package to help your functions remember their previous results.
mashumaro - Fast and well tested serialization library
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
orjsonl - A lightweight, high-performance Python library for parsing jsonl files.
orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy