public marks

PUBLIC MARKS with tags python & framework

2013

2011

open source RAD framework

by NiMe
Camelot is an open source RAD framework that leverages Python, Sqlalchemy and Qt to build rich desktop applications. Many built in features make applications built with Camelot user and developer friendly.

2010

Créer un blog avec Django 1.2 - Gilles Fabio

by ghis & 1 other
Tutoriel sur la création basique d'un blog avec Django 1.2.

Dabo Application Framework

by NiMe & 1 other
Python desktop application framework

The Official web2py Book

by ghis
The official documentation of web2py, a python web framework.

Bottle: Python Web Framework - Bottle: Python Web Framework

by ghis
Bottle is a fast and simple WSGI web-framework for Python packed into a single file with no external dependencies.

Mapnik C /Python GIS Toolkit | Welcome

by Spone & 5 others
Mapnik is a Free Toolkit for developing mapping applications. Above all Mapnik is about making beautiful maps. It is easily extensible and suitable for both desktop and web development.

2009

smisk

by greut

Smisk is a simple, high-performance and scalable web service framework written in C, but controlled by Python. Smisk is currently used in production by Spotify and Livebloggen.

Can work on WSGI application, thanks Spotify!

Bitten

by greut

Bitten is a Python-based framework for collecting various software metrics via continuous integration. It builds on Trac to provide an integrated web-based user interface.

it sounds juicy

2008

Disco

by greut

Disco is an open-source implementation of the Map-Reduce framework for distributed computing. As the original framework, Disco supports parallel computations over large data sets on unreliable cluster of computers.

The Disco core is written in Erlang, a functional language that is designed for building robust fault-tolerant distributed applications. Users of Disco typically write jobs in Python, which makes it possible to express even complex algorithms or data processing tasks often only in tens of lines of code. This means that you can quickly write scripts to process massive amounts of data.

Disco was started at Nokia Research Center as a lightweight framework for rapid scripting of distributed data processing tasks. This far Disco has been succesfully used, for instance, in parsing and reformatting data, data clustering, probabilistic modelling, data mining, full-text indexing, and log analysis with hundreds of gigabytes of real-world data.

Erlang + Python = complete beautifulness

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