What is Waitress and what are its top alternatives?
Waitress is a lightweight WSGI server implementation in Python that is designed to be simple, efficient, and easy to use. It supports multiple threads, processes, and asynchronous request handling, making it suitable for a wide range of web applications. However, Waitress may not be suitable for high-traffic websites or applications that require advanced features such as load balancing or clustering.
- Gunicorn: Gunicorn is a popular WSGI server for Python web applications known for its speed and scalability. It supports multiple worker processes, graceful reloading, and SSL support. Pros: Fast and reliable performance, easy to use. Cons: May require more configuration compared to Waitress.
- uWSGI: uWSGI is a versatile WSGI server that supports various protocols and interfaces, including WSGI, HTTP, and FastCGI. It offers advanced features like process management, caching, and routing. Pros: High performance, extensive feature set. Cons: Steeper learning curve compared to Waitress.
- CherryPy: CherryPy is a minimalist Python web framework and WSGI server that aims to be easy to use and efficient. It provides a built-in HTTP server for development and testing purposes. Pros: Lightweight, easy to get started. Cons: Limited scalability for high-traffic websites.
- Starlette: Starlette is a lightweight ASGI framework for building asynchronous web applications in Python. It offers high performance, WebSocket support, and easy integration with other ASGI servers like Uvicorn. Pros: Asynchronous request handling, modern and flexible design. Cons: May require familiarity with asynchronous programming concepts.
- Daphne: Daphne is an ASGI server that is optimized for Django applications. It supports HTTP and WebSocket protocols, making it suitable for real-time web applications. Pros: Integration with Django, high performance for asynchronous tasks. Cons: Limited support for non-Django projects.
- Tornado: Tornado is a scalable and non-blocking web server and framework for Python. It is known for its high performance, WebSocket support, and asynchronous I/O capabilities. Pros: High concurrency, built-in support for long polling. Cons: Requires understanding of asynchronous programming concepts.
- Twisted: Twisted is an event-driven networking engine for Python that can be used to build servers, clients, and protocols. It supports asynchronous I/O, SSL encryption, and various network protocols. Pros: Extensive protocol support, robust event-driven architecture. Cons: Complex API compared to other WSGI servers.
- Bjoern: Bjoern is a fast and efficient WSGI server written in C for Python web applications. It is designed for high concurrency and performance, making it suitable for handling heavy workloads. Pros: High performance, low resource consumption. Cons: Limited features compared to more fully-featured WSGI servers.
- Hypercorn: Hypercorn is an ASGI server based on the popular ASGI framework, asyncio. It supports HTTP, WebSockets, and proxying with a focus on scalability and performance. Pros: Easy integration with ASGI applications, high performance for handling asynchronous requests. Cons: Requires familiarity with asyncio and ASGI concepts.
- PyWsgi: PyWsgi is a lightweight and easy-to-use WSGI server for Python web applications. It is designed to be simple and minimalistic, making it a good choice for small projects or development environments. Pros: Simple setup, minimalistic design. Cons: Limited features compared to more advanced WSGI servers.
Top Alternatives to Waitress
- Gunicorn
Gunicorn is a pre-fork worker model ported from Ruby's Unicorn project. The Gunicorn server is broadly compatible with various web frameworks, simply implemented, light on server resources, and fairly speedy. ...
- uWSGI
The uWSGI project aims at developing a full stack for building hosting services. ...
- Flask
Flask is intended for getting started very quickly and was developed with best intentions in mind. ...
- NGINX
nginx [engine x] is an HTTP and reverse proxy server, as well as a mail proxy server, written by Igor Sysoev. According to Netcraft nginx served or proxied 30.46% of the top million busiest sites in Jan 2018. ...
- Owin
It is a standard for an interface between .NET Web applications and Web servers. It is a community-owned open-source project. ...
- Xen Orchestra
It provides a web based UI for the management of XenServer installations without requiring any agent or extra software on your hosts nor VMs. ...
- Werbot
It is basically a platform for storing, sharing, and managing server access. But the most valuable part of it concerns the possibility to do an audit and to control the work performed on the server. Our platform can be integrated as an independent service in company infrastructure. It doesn’t change the way developers are used to working on the server, it changes the way they connect on it. All connections to servers are made through a single sign-on and private user access. All the actions performed on servers and in Werbot web interface are logged and recorded (screencasts). The server administrator can not only see what was done on the server by each user and when it was done but also can replay the whole working session in our player. The server audit is made much easier with Werbot. ...
Waitress alternatives & related posts
- Python34
- Easy setup30
- Reliable8
- Light3
- Fast3
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Unlike our frontend, we chose Flask, a microframework, for our backend. We use it with Python 3 and Gunicorn.
One of the reasons was that I have significant experience with this framework. However, it also was a rather straightforward choice given that our backend almost only serves REST APIs, and that most of the work is talking to the database with SQLAlchemy .
We could have gone with something like Hug but it is kind of early. We might revisit that decision for new services later on.
I use Gunicorn because does one thing - it’s a WSGI HTTP server - and it does it well. Deploy it quickly and easily, and let the rest of your stack do what the rest of your stack does well, wherever that may be.
uWSGI “aims at developing a full stack for building hosting services” - if that’s a thing you need then ok, but I like the principle of doing one thing well, and I deploy to platforms like Heroku and AWS Elastic Beanstalk where the rest of the “hosting service” is provided and managed for me.
- Faster6
- Simple4
- Powerful2
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I find I really like using GitHub because its issue tracker integrates really well into my project flow and the projects feature allows me to organize different efforts into boards. The automation features allow my issues to automatically progress through some states on the boards when I merge pull requests.
My Python / Django app is deployed on Heroku with PostgreSQL database and uWSGI webserver.
I use Gunicorn because does one thing - it’s a WSGI HTTP server - and it does it well. Deploy it quickly and easily, and let the rest of your stack do what the rest of your stack does well, wherever that may be.
uWSGI “aims at developing a full stack for building hosting services” - if that’s a thing you need then ok, but I like the principle of doing one thing well, and I deploy to platforms like Heroku and AWS Elastic Beanstalk where the rest of the “hosting service” is provided and managed for me.
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- Documentation1
- Python1
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- Lightweight1
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- Speed1
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- Open source0
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- Context7
- Not fast5
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One of our top priorities at Pinterest is fostering a safe and trustworthy experience for all Pinners. As Pinterest’s user base and ads business grow, the review volume has been increasing exponentially, and more content types require moderation support. To solve greater engineering and operational challenges at scale, we needed a highly-reliable and performant system to detect, report, evaluate, and act on abusive content and users and so we created Pinqueue.
Pinqueue-3.0 serves as a generic platform for content moderation and human labeling. Under the hood, Pinqueue3.0 is a Flask + React app powered by Pinterest’s very own Gestalt UI framework. On the backend, Pinqueue3.0 heavily relies on PinLater, a Pinterest-built reliable asynchronous job execution system, to handle the requests for enqueueing and action-taking. Using PinLater has significantly strengthened Pinqueue3.0’s overall infra with its capability of processing a massive load of events with configurable retry policies.
Hundreds of millions of people around the world use Pinterest to discover and do what they love, and our job is to protect them from abusive and harmful content. We’re committed to providing an inspirational yet safe experience to all Pinners. Solving trust & safety problems is a joint effort requiring expertise across multiple domains. Pinqueue3.0 not only plays a critical role in responsively taking down unsafe content, it also has become an enabler for future ML/automation initiatives by providing high-quality human labels. Going forward, we will continue to improve the review experience, measure review quality and collaborate with our machine learning teams to solve content moderation beyond manual reviews at an even larger scale.
Hey, so I developed a basic application with Python. But to use it, you need a python interpreter. I want to add a GUI to make it more appealing. What should I choose to develop a GUI? I have very basic skills in front end development (CSS, JavaScript). I am fluent in python. I'm looking for a tool that is easy to use and doesn't require too much code knowledge. I have recently tried out Flask, but it is kinda complicated. Should I stick with it, move to Django, or is there another nice framework to use?
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Recently I have been working on an open source stack to help people consolidate their personal health data in a single database so that AI and analytics apps can be run against it to find personalized treatments. We chose to go with a #containerized approach leveraging Docker #containers with a local development environment setup with Docker Compose and nginx for container routing. For the production environment we chose to pull code from GitHub and build/push images using Jenkins and using Kubernetes to deploy to Amazon EC2.
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Around the time of their Series A, Pinterest’s stack included Python and Django, with Tornado and Node.js as web servers. Memcached / Membase and Redis handled caching, with RabbitMQ handling queueing. Nginx, HAproxy and Varnish managed static-delivery and load-balancing, with persistent data storage handled by MySQL.