VAmPI
falcon
VAmPI | falcon | |
---|---|---|
4 | 9 | |
809 | 9,389 | |
- | 0.2% | |
4.3 | 7.1 | |
11 days ago | 6 days ago | |
Python | Python | |
MIT License | 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.
VAmPI
- Good boxes for Web Penetesting
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How to construct API POST request without documentation?
It also has a postman collection. You can send the request from Postman or if you prefer Burp, proxy Postman with Burp and mess with the APIs there.
Recently I tried Vulnerable REST API which can be found at https://github.com/erev0s/VAmPII don't have any issue with GET request as all I need is the right url without any http body
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?
cleanapi - Pretty tornado wrapper for making lightweight REST API services
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
White-box-pentesting - This lab is created to demonstrate pass-the-hash, blind sql and SSTI vulnerabilities
hug - Embrace the APIs of the future. Hug aims to make developing APIs as simple as possible, but no simpler.
Mastodon.py - Python wrapper for the Mastodon ( https://github.com/mastodon/mastodon/ ) API.
Dependency Injector - Dependency injection framework for Python
api - Open Source APIs
connexion - Connexion is a modern Python web framework that makes spec-first and api-first development easy.
Spring4Shell-POC - This is a dockerized application that is vulnerable to the Spring4Shell vulnerability (CVE-2022-22965).
apistar - The Web API toolkit. 🛠
cleanbay - The metasearch engine for torrents. Ads-free. Hassle free.
restless - A lightweight REST miniframework for Python.