django-rest-framework
pydantic
django-rest-framework | pydantic | |
---|---|---|
197 | 167 | |
27,525 | 18,733 | |
0.6% | 2.7% | |
8.9 | 9.8 | |
5 days ago | 4 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
django-rest-framework
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Ask HN: Is Python async/await some kind of joke?
- Django Rest Framework has no async support? https://github.com/encode/django-rest-framework/issues/7260
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Build and Deploy a URL Shortener using Django REST Framework and Managed Postgres
A URL shortener is a service that transforms long and complex URLs into short, easily memorable ones. This tutorial guides you through creating a URL shortener using Django REST framework and Postgres, deploying it on Koyeb.
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How can I implement 2FA with Django REST Framework?
Now, I'm converting this app into a Vue-based SPA (still powered by Django). I'm using the Django REST Framework to build the API that the SPA will interact with. (I'll be using token-based auth, via django-rest-knox. ETA: I'll actually be using djangorestframework-simplejwt.)
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Creating Own Chat GPT
For the backend, we chose Python, Django Rest Framework. On the frontend, React, Redux, Saga, Sass. Let’s start with the backend, which was managed by Yegor. He writes about the server part of the project himself.
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Building a Blog in Django
With regard to JSON API aspects of Django, have you used https://www.django-rest-framework.org/ ? I find it to be very satisfactory.
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A question
django-rest-framework and the Fetch API, or
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Exploring Django's Third-Party Packages: Top Libraries You Should Know
Django REST Framework (DRF) Django REST Framework is a famous, powerful, and flexible toolkit for building Web APIs in Django. It provides a set of reusable components and tools to simplify API development, including serialization, authentication, permissions, and view sets.
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FastAPI 0.100.0:Release Notes
I wish Django would take async more seriously. This comment gives a pretty good overview of the current situation (some points are more valid than others): https://github.com/encode/django-rest-framework/discussions/...
The Python ecosystem is strange. Where other dev communities will embrace new ways of doing things faster than most people can keep up — the Python community needs to be pulled kicking and screaming into the light once ever decade or so. Python 2 to 3, ~10 years.
async/await has been in Python since 2015, it feels like it's going to be another 5 years before we see people taking async seriously in the big packages. Same problem we had during the 2/3 transition. No library support, no developer support.
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How to create REST API using Django REST framework
Thanks for helping Steve to complete his REST API, he is now partying🥳. You can get more information on how to use the Django REST framework to best way read the documentation. There are many alternatives to the Django REST framework, you can give them a try if you want,
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Composite Class-Based View for non DRF views
[Django Rest Framework](https://www.django-rest-framework.org/) has the very nice idea of a [ViewSet](https://www.django-rest-framework.org/api-guide/viewsets/#modelviewset) that allows really minimal code to perform all the basic CRUD actions on a model.
pydantic
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Advanced RAG with guided generation
First, note the method prefix_allowed_tokens_fn. This method applies a Pydantic model to constrain/guide how the LLM generates tokens. Next, see how that constrain can be applied to txtai's LLM pipeline.
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utype VS pydantic - a user suggested alternative
2 projects | 15 Feb 2024
utype is a concise alternative of pydantic with simplified parameters and usages, supporting both sync/async functions and generators parsing, and capable of using native logic operators to define logical types like AND/OR/NOT, also provides custom type parsing by register mechanism that supports libraries like pydantic, attrs and dataclasses
- Pydantic v2 ruined the elegance of Pydantic v1
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Ask HN: Pydantic has too much deprecation. Why is it popular?
I like some of the changes from v1 to v2. But then you have something like this [0] removed from the library without proper documentation or replacement, resulting in ugly workarounds in the link that wont' work properly.
[0]: https://github.com/pydantic/pydantic/discussions/6337
- OpenAI uses Pydantic for their ChatCompletions API
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🍹GinAI - Cocktails mixed with generative AI
The easiest implementation I found was to use a PyDantic class for my target schema — and use that as a parameter for the method call to “ChatCompletion.create()”. Here’s a fragment of the GinAI Python classes used.
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FastStream: Python's framework for Efficient Message Queue Handling
Also, FastStream uses Pydantic to parse input JSON-encoded data into Python objects, making it easy to work with structured data in your applications, so you can serialize your input messages just using type annotations.
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Introducing FastStream: the easiest way to write microservices for Apache Kafka and RabbitMQ in Python
Pydantic Validation: Leverage Pydantic's validation capabilities to serialize and validate incoming messages
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Cannot get Langchain to work
Not sure if it is exactly related, but there is an open issue on Github for that exact message.
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FastAPI 0.100.0:Release Notes
Well the performance increase is so huge because pydantic1 is really really slow. And for using rust, I'd have expected more tbh…
I've been benchmarking pydantic v2 against typedload (which I write) and despite the rust, it still manages to be slower than pure python in some benchmarks.
The ones on the website are still about comparing to v1 because v2 was not out yet at the time of the last release.
pydantic's author will refuse to benchmark any library that is faster (https://github.com/pydantic/pydantic/pull/3264 https://github.com/pydantic/pydantic/pull/1525 https://github.com/pydantic/pydantic/pull/1810) and keep boasting about amazing performances.
On pypy, v2 beta was really really really slow.
What are some alternatives?
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Cerberus - Lightweight, extensible data validation library for Python
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
nexe - 🎉 create a single executable out of your node.js apps
Dependency Injector - Dependency injection framework for Python
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
django-tastypie - Creating delicious APIs for Django apps since 2010.
SQLAlchemy - The Database Toolkit for Python
django-modern-rpc - Simple XML-RPC and JSON-RPC server for modern Django
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
Django - The Web framework for perfectionists with deadlines.
mypy - Optional static typing for Python