Search Results for "cloud computing software"

The Traccar software offers exceptional performance and stability, whether it is installed on Windows, Linux, or any other platform. The server can be hosted on-premise or in the cloud, and we provide various hosted options with professional support. Traccar stands out among GPS tracking systems on the market by supporting a vast array of protocols and device models.

This project hosts various plugins for the OpenCPN chart plotter, which are not bundled with the core package. OpenCPN is a free software (GPLv2) project to create a concise chart plotter and navigation software, for use underway or as a planning tool. OpenCPN is developed by a team of active sailors using real world conditions for program testing and refinement.

GISBox by Citiviz is a ready-to-use virtual appliance containing an assortment of powerful, free and open source GIS, Data Mining and Analysis, Modelling and Programming software and packages. The pre-configured and tested GISBox allows you to try and use in few minutes a variety of software used by data scientists, engineers, physicists, mathematicians, geomatics engineers, and geographers from around the globe, without installing anything more than once the Oracle VirtualBox™ software...

The SELENA and RISe software tools are two packages to assist in computing earthquake damage scenarios. The damage probability for any specific structure follows the computation principles of HAZUS.

easy fusion is a java-based framework that intends to automatically deploy and control information fusion systems (IFS) on distributed and dynamic resources.

Earnest is a A PHP-MYSQL AI EXPERT SYSTEM for creating powerful expert system easily. Its simple PHP API can also be called from JAVA, browsers or other software to perform GIS and other comparisons. Also has ability to create XML results.

A mashup using Ribbit, Grid, Cloud computing technology.

pRPL is a general-purpose parallel Raster Processing C++ programming Library. It enables the implementation of parallel raster-based algorithms without requiring a deep understanding of parallel computing, and greatly reduces the development complexity.