Trafaret
cattrs
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| Trafaret | cattrs | |
|---|---|---|
| - | 7 | |
| 176 | 755 | |
| - | 2.0% | |
| 0.0 | 8.9 | |
| about 2 years ago | 4 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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Trafaret
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Tracking mentions began in Dec 2020.
cattrs
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Writing Python like it’s Rust
I'd suggest you look at my cattrs (https://catt.rs) library as a good serde lookalike in Python (sum type support present and getting better), and to use attrs instead of dataclasses in general.
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Starlite updates March '22 | 2.0 is coming
Pydantic is by far not the only library of its kind, with prominent members of the same class being attrs, cattrs or even plain dataclasses for some use cases.
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Noob question on saving objects in YAML files
That being said, data serialization is a very common thing to do, so naturally there are tons of libraries that automate it for you. Personally, using dataclasses and cattrs is my goto way for doing such things.
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Taking JSON input for "posts", "tags" etc. How to escape '\' charecter or detect carefully?
I'm fond of attrs and cattrs myself, attrs make creating data classes a snap, writing all of the stupid code python requires to have a dataclass. Note the new built in dataclass is actually a limited copy of attrs. https://www.attrs.org/en/stable/ and https://github.com/python-attrs/cattrs
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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)
- cattrs – an open source Python library for structuring and unstructuring data
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I use attrs instead of pydantic
```
Cattrs has some problems with generics [1] [2]. Dacite and marshmallow-dataclasses don't support generics well either, with some issues around Union types.
They do work well for simple python types but what I'd like to see is guarantee that the serialisation operation is completely reversible and if not raise warning/exception.
What are some alternatives?
marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.
serpy - ridiculously fast object serialization
pydantic - Data validation using Python type hints
Fast JSON schema for Python - Fast JSON schema validator for Python.
lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)
PyValico - Small python wrapper around https://github.com/rustless/valico
datamodel-code-generator - Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.
pySHACL - A Python validator for SHACL