CherryPy is an object-oriented web application framework using the Python programming language. It is designed for rapid development of web applications by wrapping the HTTP protocol but stays at a low level and does not offer much more than what is defined in RFC 7231.
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1. It allows building web applications in much the same way one would build any other object-oriented program. 2. This design results in more concise and readable code developed faster. It's all just properties and methods. 3. It is now more than ten years old and has proven fast and very stable. 4. It is being used in production by many sites, from the simplest to the most demanding. 5. And perhaps most importantly, it is fun to work with :-) And it continues to work that intuitively when systems grow, allowing for the Python object model to be dynamically presented as a website and/or API. While CherryPy is one of the easiest and most intuitive frameworks out there, the prerequisite for understanding the CherryPy documentation is that you have a general understanding of Python and web development. Additionally: Tutorials are included in the repository: A general wiki at: If the docs are insufficient to address your needs, the CherryPy community has several avenues for support . The CherryPy maintainers and the maintainers of thousands of other packages are working with Tidelift to deliver one enterprise subscription that covers all of the open source you use. Please follow the contribution guidelines . And by all means, absorb the Zen of CherryPy .
~5 min read
CherryPy is an object-oriented web application framework using the Python programming language. It is designed for rapid development of web applications by wrapping the HTTP protocol but stays at a low level and does not offer much more than what is defined in RFC 7231.
CherryPy can be a web server itself or one can launch it via any WSGI compatible environment. It does not deal with tasks such as templating for output rendering or backend access. The framework is extensible with filters, which are called at defined points in the request/response processing.
Excerpt from the source-code README · 4,429 chars · not written by Vinony
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Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).