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Vous souhaitez analyser un programme permettant d'analyser simplement et efficacement tous vos emails ? Bienvenue chez JavoueJapasse !
Le cabinet de conseil UIConsult souhaite se doter d'un outil d'aide à l'analyse des communications et des expertises à l'intérieur de ses équipes de collaborateurs. L'enjeu est pour les responsables de secteur de pouvoir produire un rapport d'analyse des échanges par emails des collaborateurs, appelé "RCom". Ces rapport sont réalisés à l'échelle...
A tool for visualisation and analysis of STM and STS results. Currently supports RHK, WinSPM, Nanonis and Createc file formats. Other formats can be added. Tools are made available by plugins and are currently focused on spectroscopy manipulation.
This project develops web-based interactive visualisation to support the analysis and monitoring the data from the comprehensive system dynamics and agent based simulation. This work visualise the data via classical charts and graphs in an interactive way. The web-based platform enables upload csv files, mapping and display the attributes based on user’s preference
Something simpler than R and focused on visualisation
Something simpler than R and focused on visualization of multivariate float datasets.
Developed mostly for my personal use, but can't exclude the possibility that it will be useful for someone else.
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...This prototype provides near real-time visibility of the networks and cloud infrastructures and interconnected computing and data storage resources. It therefore can assist the operators with visualisation and localization of the causes of potential incidents.
An image processing and analysis library for Matlab
MatImage is a Matlab library for image processing and analysis in 2D and 3D. It contains more than 250 fonctions for image enhancement, filtering, analysis, or visualisation, as well as for creating basic test shapes. It is built as a complement of the Mathworks image processing toolbox (IPT).
Project is being transfered to GitHub:
http://github.com/dlegland/matImage
MLboost: Machine Learning boost library in Python. MLboost main goal is to speedup any Machine Learning projects by simplifying data preprocessing, features selection and data visualisation. Design by Machine Learning practitioners to let them do ML...;)
The aim of the project is the creation of an multiuser, webenabled, datahandling, processing and visualisation tool for engineering data from the real word - with Datacollection, Charting, Mapping, Alerting, Messaging and Reporting capabilities .....
Easy to use remote controllable monitoring system with analysis funtionalities. It is splitted into data acquisition (monitoring agent) and visualisation/analysis (evaluation station), communicating via xml-rpc (using ulxmlrpcpp).
TopicMapTools allows the creation, manipulation and visualization of XML Topic Maps. It is based on the TM4J framework. The editor can be used in genealogy for the visualisation of e.g. family trees.
PyVisi is the Python visualisation interface: a generic Python-based interface to many different scientific visualisation packages. PyVisi is intended for use in both standard and high-performance computing environments, and with the escript package.