desert
cattrs
| desert | cattrs | |
|---|---|---|
| - | 7 | |
| 157 | 756 | |
| 0.0% | 0.7% | |
| 0.0 | 8.8 | |
| about 1 year ago | 14 days ago | |
| Python | Python | |
| MIT License | MIT License |
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.
desert
We haven't tracked posts mentioning desert yet.
Tracking mentions began in Dec 2020.
cattrs
-
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.
-
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.
-
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.
-
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
-
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
-
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.
[1] https://github.com/Tinche/cattrs/issues/149
What are some alternatives?
orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.
mashumaro - Fast and well tested serialization library
pydantic - Data validation using Python type hints
webargs - A friendly library for parsing HTTP request arguments, with built-in support for popular web frameworks, including Flask, Django, Bottle, Tornado, Pyramid, webapp2, Falcon, and aiohttp.
Fast JSON schema for Python - Fast JSON schema validator for Python.
DeepFriedMarshmallow - A plug-and-play JIT implementation for Marshmallow to speed up data serialization and deserialization
serpy - ridiculously fast object serialization
apispec - A pluggable API specification generator. Currently supports the OpenAPI Specification (f.k.a. the Swagger specification)..
datamodel-code-generator - Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.
lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)