litestar-fullstack
cattrs
| litestar-fullstack | cattrs | |
|---|---|---|
| 4 | 7 | |
| 2 | 759 | |
| - | 1.2% | |
| 8.7 | 8.8 | |
| 6 days ago | 24 days ago | |
| Python | Python | |
| MIT License | MIT License |
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litestar-fullstack
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FastAPI 0.100.0:Release Notes
https://github.com/cofin/litestar-fullstack - it has Users and Auth , Roles , Teams , Tagging , Data migration , Caching , Background Worker Services , Background scheduling , manage.py-like cli for creating users , admin users , and docker containers.
- Starlite updates March '22 | 2.0 is coming
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Starlite February Updates
For example: https://github.com/cofin/starlite-full-stack-example Or: https://github.com/v3ss0n/starlite-halfstack-cookiecutter
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Starlite Updates
As for starlite UI - you can do this, see for example this: https://github.com/cofin/starlite-spa if you want an SSR SPA. Or you can use templating - Starlite supports two template engines by default.
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.
[1] https://github.com/Tinche/cattrs/issues/149
What are some alternatives?
valio - Pluggable validation library that supports dataclasses, async validation, async tasks, validation extension, regex validation, dynamic documentation and much more.
marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.
starlite-jwt - JWT Auth toolkit for Starlite
pydantic - Data validation using Python type hints
starlite-saqlalchemy - Starlite API boilerplate abstraction and utilities.
Fast JSON schema for Python - Fast JSON schema validator for Python.
fastapi-router-controller - A FastAPI utility to allow Controller Class usage
serpy - ridiculously fast object serialization
starlite-sessions - Simple sessions authentication for Starlite
datamodel-code-generator - Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.
starlite - Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs [Moved to: https://github.com/litestar-org/litestar]
lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)