dataconf
mashumaro
| dataconf | mashumaro | |
|---|---|---|
| 1 | 3 | |
| 79 | 729 | |
| - | - | |
| 7.9 | 9.4 | |
| 30 days ago | 11 days ago | |
| Python | Python | |
| Mozilla Public License 2.0 | Apache License 2.0 |
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dataconf
mashumaro
- DotDict: A simple Python library to make chained attributes possible
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apischema v0.17 - I've developed the fastest typed JSON (de)serialization library, and you can also build your GraphQL schema with it
This month, I've released version 0.17, and it's now blazing fast; there is in fact no more comparison with Pydantic, which more than 5x slower (up to 30x in serialization). It's also faster than alternatives like mashumaro or cattrs. (See the quick benchmark result in documentation, and the code)
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I use attrs instead of pydantic
Having run into these issues with Pydantic, we've been using Mashumaro[1], which, while not having all the bells and whistles of Pydantic, has served us pretty well.
1: https://github.com/Fatal1ty/mashumaro
What are some alternatives?
dataclasses-json - Easily serialize Data Classes to and from JSON
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
pyserde - Yet another serialization library on top of dataclasses, inspired by serde-rs.
marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.
py-object-factory - objectfactory is a python package to easily implement the factory design pattern for object creation, serialization, and polymorphism
orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
apischema - JSON (de)serialization, GraphQL and JSON schema generation using Python typing.
cattrs - Composable custom class converters for attrs.
orjsonl - A lightweight, high-performance Python library for parsing jsonl files.
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings
srsly - 🦉 Modern high-performance serialization utilities for Python (JSON, MessagePack, Pickle)
python-rapidjson - Python wrapper around rapidjson