Nameko
falcon
Our great sponsors
| Nameko | falcon | |
|---|---|---|
| - | 9 | |
| 4,649 | 9,384 | |
| 0.3% | 0.4% | |
| 0.0 | 6.7 | |
| 6 months ago | 4 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
Nameko
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Tracking mentions began in Dec 2020.
falcon
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Is something wrong with FastAPI?
Falcon FastAPI Sanic Starlite (disclosure: I do work here)
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A Look on Python Web Performance at the end of 2022
Sanic is very very popular with 16.6k stars, 1.5k forks, opencollective sponsors and a very active github. Falcon is more popular than japronto with 8.9k stars, 898 forks, opencollective sponsors and a very active github too. Despite Japronto been keeped as first place by TechEmPower, Falcon is a way better solution in general with performance similar to fastify an very fast node.js framework that hits 575k requests per second in this benchmark.
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Flask vs FastAPI?
I prefer Falcon for kicking up an API.
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Python for everyone : Mastering Python The Right Way
Falcon
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Pyjion – A Python JIT Compiler
And here's a project that's mostly Python, and optionally uses Cython https://github.com/falconry/falcon
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2 Questions to Ask Before Choosing a Python Framework
To help with the above two cases I would consider using a microframework, and the Python community provides many solutions. In my professional career I’ve had the opportunity to work with three very good alternatives to Django: Flask, Falcon, and Fast API. Flask is designed to be easy to use and extend. It follows the principles of minimalism and gives more control over the app. Choosing it, developers can use multiple types of databases, which is not easy to do in Django. We can also plug in our favorite ORM and use it without any risk of unpredictable app behavior. In contrast to Django, it’s easy to integrate NoSQL databases with Flask.
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Do you know any Python projects on Github that are examples of best practices and good architecture?
This may not be exactly what you asked for but I found contributing to open source projects really exposed me to different approaches I never would have considered and may not have fully grasped had I not had to actually dive into the code to solve an issue. Falcon is a great place to start and the guys are super friendly there.
- Falcon 3.0 released!
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Designing rest APIs as a data engineer
https://falcon.readthedocs.io/en/stable/ https://fastapi.tiangolo.com/
What are some alternatives?
gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
zeroRPC - zerorpc for python
hug - Embrace the APIs of the future. Hug aims to make developing APIs as simple as possible, but no simpler.
wampy - Websocket RPC and Pub/Sub for Python applications and microservices
Dependency Injector - Dependency injection framework for Python
RPyC - RPyC (Remote Python Call) - A transparent and symmetric RPC library for python
connexion - Connexion is a modern Python web framework that makes spec-first and api-first development easy.
ReflectRPC - Self-describing JSON-RPC services made easy
apistar - The Web API toolkit. 🛠
minos-python - 🐍 Minos is a framework which helps you create reactive microservices in Python
restless - A lightweight REST miniframework for Python.