I started a new project with the name OpenMining, new application server written in Python.

OpenMining is software for creating OLAP (online analytical processing) cubes (multi-dimensional) using Numpy, Scipy and Pandas for data management and flexibility in processing dynamical filters. Open-source provider of reporting, analysis, dashboard, data mining and workflow capabilities.

Our goals

• Business Intelligence software (Pentaho/Jaspersoft) alternative;
• OLAP manager;
• Generate report (grid, charts, pdf and etc);
• Dashboard manager, link one or more element (report);
• Easy dashboard generate;
• Not one data is processed on the basis of source data;
• Friendly interface;
• Used websocket on cube load;

Python libs used

• Pandas
• Numpy
• numexpr
• ipython
• Tornado
• SQLAlchemy
• RQ
• Riak client
• Redis client
• Memcached client

More about OLAP cube

A cube can be considered a generalization of a three-dimensional spreadsheet. For example, a company might wish to summarize financial data by product, by time-period, and by city to compare actual and budget expenses. Product, time, city and scenario (actual and budget) are the data's dimensions.

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February 2014 saw significant contributions across 6 repositories, including 30 new issues and 203 commits, highlighting a productive month for the community.

January 2014 saw impactful contributions across 4 repositories, with 91 total commits boosting project development and collaboration.

Desde 2007 escrevo aqui no meu blog, com isso já passei por diversas plataforma de blog (Blogspot, Wordpress, Django, Django Diario, Pelican, entre outras), hoje estou usando liquidluck (ferramenta escrita em Tornado Python para gerar arquivos estático), minha escolha para essa mudança foi simplificar o processo de escrever texto, ou seja, usar o que eu uso no dia a dia para programar, com isso tive algumas perda como corretor ortográfo!

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