Search Results for "python data analysis"

...-management, process-design, mind-mapping and knowledge-management. It uses a database which can be used simultaneaously by multiple people (though with limits). Knobjex uses a networked approach to store information. Basicly it is a table of interlinked sentences (called Relations) which can displayed in different ways. Any item (or 'knowledge-object') can have multiple parents and multiple children. Technique: knobjex 4.x uses python 3.x, wxPython 4.x and the open-source database Sqlite.

A Python agent and a web interface aiming to help the analysis and investigation of a legacy application. A set of machines, processes, databases, programs etc ... all communicating with each other, manipulating your data, and whose software architecture has become, with time, complicated, difficult to understand, and undocumented. Data are aggregated with an RDF inference engine, creating a global vision of the business information processing.

An attempt at offering machine learning and data mining algorithms at the finest grain we are able to, easy to combine together through Python scripting to glue together the Lego-like bricks.

feed4weka is an open library that enriches weka (http://www.cs.waikato.ac.nz/ml/weka/), an open source project for data analysis. It integrates new classification and clustering algorithms, and adds the coclustering and outlier detection frameworks

meBiblio was specially developed as a small and accessible Python-based bibliography tool. meBiblio can organize your reference library, allows easy search in your references and permits immediate retrieval and examination of digitally stored literature items. It connects to online catalogs as PUBMED to retrieve data.

Infabmation is a data filing system but can be expanded to be a lot more than that!

Blunder is an automated tool for analyzing chained exceptions in Java. It's usefull for classify, generate a customized error message and a list for possible solutions.

MACOW is a formal and scalable mandatory access implementation suitable on open worlds such as the provided on Semantic Web, Autonomic Computing and Coaltions and Federations scenarios. It is able to access control on distributed systems.

The aim of RumbleDown is to regroup all the diverse communications that can be used - now or in the future - to reduce the clutter currently present and make it usable by a human. The hope is also to break up non-open fluxes to enable a truly single-point access. Don not forget: in the future some sort of encryption will be called upon to protect user data and privacy. At that time we will have to address the necessary controls issues. For the start up that will not be a problem. The sooner...