All of the WSGI benchmarks I found were pretty outdated or didn't include async results, so I decided to do some benchmarking myself. I know there's other options for running python WSGI applications, but I settled on just 2: gunicorn, which has the advantage of being pure-python and uWSGI, which has the advantage of being pure-C. I ran these tests on a m1.large Amazon AWS EC2 instance using the l
Gunicorn 'Green Unicorn' is a Python WSGI HTTP Server for UNIX. It's a pre-fork worker model. The Gunicorn server is broadly compatible with various web frameworks, simply implemented, light on server resources, and fairly speedy. Installation Here's a quick rundown on how to get started with Gunicorn. For more details read the documentation. $ pip install gunicorn $ cat myapp.py def app(environ,
EDIT: Note that the discussion around this on the Python WEB-SIG went round in many circles and died. Thus nothing much here came into being and thus should be viewed merely for amusement value and not taken as being any indicator of any sort of reality. The discussion on the Python WEB-SIG about what to do about WSGI and Python 3.X has been going round and round in circles for some time now witho
Note The project is in maintenance mode (only bugfixes and updates for new languages apis). Do not expect quick answers on github issues and/or pull requests (sorry for that) A big thanks to all of the users and contributors since 2009. The uWSGI project¶ The uWSGI project aims at developing a full stack for building hosting services. Application servers (for various programming languages and prot
In order to have fast web-applications it's really important to be able to find bottlenecks, so you don't spend time optimizing something that isn't an issue. The web-application profiling solutions out there were not that good and even big frameworks like Django have very bad support for profiling. I will now present a simple WSGI profiling middleware that can be used to find bottlenecks in any W
Werkzeug¶ werkzeug German noun: “tool”. Etymology: werk (“work”), zeug (“stuff”) Werkzeug is a comprehensive WSGI web application library. It began as a simple collection of various utilities for WSGI applications and has become one of the most advanced WSGI utility libraries. Werkzeug doesn’t enforce any dependencies. It is up to the developer to choose a template engine, database adapter, and ev
Beaker Documentation¶ Beaker is a library for caching and sessions for use with web applications and stand-alone Python scripts and applications. It comes with WSGI middleware for easy drop-in use with WSGI based web applications, and caching decorators for ease of use with any Python based application. Lazy-Loading Sessions: No performance hit for having sessions active in a request unless they’r
Table Of Contents Get Colubrid Not A Framework Looking for help? Bugs Overview Colubrid is a WSGI publisher which simplifies Python web developement. If you've ever created a WSGI application without a framework of an request handler you know how hard this can be. For the full feature list have a look at the Features page. Colubrid should be compatible with Python 2.2. If you find a line of code t
<rant mode=“on” type=“get-off-my-lawn-you-crazy-younguns”> WSGI middleware is hazardous to your API’s health. There, I said it. It’s not the actual idea of WSGI middleware I have a problem with, but what a lot of people seem to think the idea of WSGI middleware is. Unfortunately, the way I wrote the part of PEP 333 that talks about how maybe frameworks can someday become middleware, has produced
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