Flask RestPlus
pydantic
Flask RestPlus | pydantic | |
---|---|---|
6 | 167 | |
2,731 | 18,733 | |
- | 2.7% | |
0.0 | 9.8 | |
about 1 year ago | 3 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" 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.
Flask RestPlus
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Faster time-to-market with API-first
When it comes to Flask, in particular, there’re plenty of choices. And in fairness, not all frameworks are created equal. You’ve got flasgger, restx (successor of flask-restplus), flask-RESTful, and flask-smorest, to mention a few. How do you choose among those???
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OAS is the most crtitical tool for API Developers
Common frameworks for building APIs in Python are the Django Rest Framework and Flask-RESTPLUS. Django developers can add the django-rest-swagger module via pip, whereas Flask-RESTPLUS has Swagger support built in. Both are very powerful in terms of automation, so they do not require a lot of configuration.
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Auto OpenAPI Generation — The Network Doesn’t Lie!
Examples include Swagger-Core, SpringFox, NSwag / Swashbuckle, Swagger-express / HAPI-Swagger, Django-REST-Swagger / Flask-RESTplus, etc.
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Flask-RESTplus CORS request not adding headers into the response
I have an issue trying to setup CORS for my REST API. I'm currently using the Flask-Restplus package. Here's what my endpoints look like :
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Serving Flask-RESTPlus on https server
I have been googling, and i ran into discussions of this issue.And this seemed to be the fix that could work without me having to change the library or configurations on the server.
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Need help with flask-restful, application factories and blueprints
Nah, it’s flask-restplus - says so right on the GH page https://github.com/noirbizarre/flask-restplus
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?
flask-restful - Simple framework for creating REST APIs
Cerberus - Lightweight, extensible data validation library for Python
flask-restx - Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask
nexe - 🎉 create a single executable out of your node.js apps
flasgger - Easy OpenAPI specs and Swagger UI for your Flask API
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
connexion - Connexion is a modern Python web framework that makes spec-first and api-first development easy.
SQLAlchemy - The Database Toolkit for Python
flask-restless - NO LONGER MAINTAINED - A Flask extension for creating simple ReSTful JSON APIs from SQLAlchemy models.
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
eve - REST API framework designed for human beings
mypy - Optional static typing for Python