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Best Python Web Development Frameworks

Top Python Web frameworks


December 07, 2009

Django is a very nice Python Web framework that was developed about 4 years ago to encourage rapid development. The Python web framework also compliments clean, pragmatic design and the Python developers love it.

TurboGears Combines CherryPy, Kid, SQLAlchemy and MochiKit. Create a database-driven, ready-to-extend application in minutes. All with designer friendly templates, easy AJAX on the browser side and on the server side, with an extremely powerful and flexible Object Relational Mapper (ORM), and with code that is as natural as writing a function. Oh well, this might be the rapid Web development mega framework you've been looking for.

Grok is yet another web application framework for Python developers. It is designed to help both beginners and advanced web developers. However, some areas of Grok are still more challenging to learn. Grok has an emphasis on agile development.

Pylons the lightweight Web framework is built on Paste and allows and encourages use of your favorite Python components and libraries. Pylone emphasizes flexibility and rapid development. Combining the very best ideas from Ruby, Python and Perl, Pylon provides a structured yet extremely flexible Python Web framework.

Zope stands for "Z Object Publishing Environment. Being the grandfather of Python web frameworks, Zope has grown into a group of frameworks over the years. All of the Zope frameworks include the ZODB, an object database for Python. If you have heard of Plone, one of the famous and early CMS uses Zope.

Web2py All in one package with no further dependencies. Development, deployment, debugging, testing, database administration and maintenance of applications can be done via the provided web interface. web2py has no configuration files, requires no installation, can be run off a USB drive. web2py uses Python for the Model, the Views and the Controllers, has a built-in ticketing system to manage errors, an internationalization engine, works with MySQL, PostgreSQL, SQLite , Oracle, MSSQL and the Google App Engine via an ORM abstraction layer.