Open Source JavaScript Information Analysis Software - Page 4

emios project : Environmental Memory Interoperable Open Service.

epiPATH is a platform to store and analyze evolutionary, population and epidemiological data from infectious diseases. It is designed to aid users in daily work with data generated in sequencing projects as well as clinical and epidemiological data.

This software presents a flexible and configurable proposal for monitoring and management of real and virtual HPC infrastructures, compatible with paradigm of cloud computing. We help you to answer: 1) What is the performance of my resources? 2) What equipment and resources do we have already? 3) What do we need to upgrade or repair? 4) What can we consolidate to reduce complexity or reduce energy use? 5) What resources would be better reused somewhere else? Status: PreAlpha, so any help shall be welcome. Made for LINUX. GNU General Public License version 3.0 (GPLv3)

OASIS is an application that enables complex analytical queries across somatic mutations; copy number changes (CNV); and gene expression data. OASIS has been built on top of the BIoMart frameworks and has been extended to incorporate unique tools and visualizations to facilitate analysis of complex cancer "Omics" datasets.

OpenMEDIS is a simple, flexible, and standardized tool to collect (inventory) and process (manage) information on health technology infrastructure, e.g. medical devices in low- and middle income countries. The latest source code is available in the folder Code/trunk. There are also sub-projects of openMEDIS that contain the source-code of installations in each country.

phpMyVisites is a Web traffic analyzer with very detailed reports and advanced graphics. It is not an Apache log analysis tool. phpMyVisites creates its own logs, and it allows access to more complete statistics. phpMyVisites provides information about v

This is Slycat - a web-based data science analysis and visualization platform, created at Sandia National Laboratories. The goal of the Slycat project is to develop processes, tools and techniques to support data science, particularly analysis of large, high-dimensional data.