March 2014 saw 14 repositories contributing 47 total activities, including 27 issues and 7 pull requests, driving significant development and collaboration.

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.

…

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.

…

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