
CakePHP
Laravel
CodeIgniter
Ruby on Rails
Yii Framework
Django
Node.js
Meteor
PyPy
cx_Freeze
bbfreeze
Numba
Cython
PyInstaller
PyOxidizer
asciinema
CakePHP might be a bit more popular than PyPy. We know about 10 links to it since March 2021 and only 9 links to PyPy. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
CakePHP is an open-source PHP web framework designed to help developers build web applications quickly. It is based on the MVC (Model-View-Controller) architecture and provides a powerful toolkit to simplify common development tasks such as database interactions, form handling, authentication, and session management. - Source: dev.to / about 2 years ago
CakePHP is an open-source PHP framework for web development with 8.7k stars and 3.5k forks on GitHub. It offers APIs that enable developers to develop applications quickly. It allows you to create highly secure and scalable web applications, including social networks, eCommerce, and online collaboration platforms. - Source: dev.to / over 2 years ago
Give https://cakephp.org/ a try. It also is one of the oldest ones out there, so quite mature and stable while being rather lightweight. Serving JSON API seems like a good fit. Source: over 3 years ago
You can download it and review the documentation here: https://cakephp.org/. - Source: dev.to / over 3 years ago
As the name of the service says it will work best with Laravel but it is not a problem to modify code from other frameworks to make it work the same way. I have several applications created this way in CakePHP. I have this set to manual after clicking the deploy button, but if you want you can turn on quick deploy and then it will publish the application after a push to the main branch (or another one, depending... - Source: dev.to / almost 4 years ago
There are quite a few JITs: JIT-compiler for Python https://pypy.org/ Python enhancement proposal for JIT in CPython https://peps.python.org/pep-0744/ And there are several JIT-compilers for various subsets of Python, usually with focus on numerical code and often with GPU support, for example Numba https://numba.pydata.org/numba-doc/dev/user/jit.html Taichi Lang https://github.com/taichi-dev/taichi. - Source: Hacker News / 7 months ago
Gains than using either compiler alone. This uses the PyPy JIT framework to speed up a RISC-V simulator. https://pypy.org/ https://github.com/pydrofoil/pydrofoil Pydrofoil: A fast RISC-V emulator generated from the Sail model, using PyPy's JIT. - Source: Hacker News / over 1 year ago
"On average, PyPy is 4.4 times faster than CPython 3.7." https://pypy.org/. - Source: Hacker News / almost 2 years ago
If you're going the pure Python route, don't forget to try PyPy[1], an alternative JITed implementation of the language. A seriously underrated project, IMHO. Most time it speeds up execution by a factor of 2x-4x, but improvements of about two orders of magnitude are not unheard of. See for example [2]. Numeric, long-running code shoud suit PyPy optimizations well. [1] https://pypy.org/ [2]... - Source: Hacker News / almost 2 years ago
Python: My Python-foo is limited, so I only ported the last problem (a simple while loop) and ran it with PyPy. It takes a bit less of time:. - Source: dev.to / over 2 years ago
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