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RouteGenie NEMT software
Modern software for non-emergency medical transportation providers, built to improve scheduling, billing, routing, and dispatching processes.
RouteGenie NEMT software is a modern system built to automate all non-emergency medical transportation processes including routing, scheduling, dispatching, and billing. It helps manage everyday challenges like vehicle breakdowns, traffic problems, cancelations, driver call-offs, will calls, no shows, add-on trips, on-demand trips, and more.
CloudI is an open-source private cloud computing framework for efficient, secure, and internal data processing. CloudI provides scaling for previously unscalable sourcecode with efficient fault-tolerant execution of ATS, C/C++, Erlang/Elixir, Go, Haskell, Java, JavaScript/node.js, OCaml, Perl, PHP, Python, Ruby, or Rust services.
The bare essentials for efficient fault-tolerant processing on a cloud!
...NuPIC is suited to a variety of problems, particularly anomaly detection and prediction of streaming data sources. For more information, see numenta.org or the NuPIC Forum. If you want to build the dependent nupic.bindings from source, you should build and install from nupic.core prior to installing nupic (since a PyPI release will be installed if nupic.bindings isn't yet installed). To install from local sourcecode, run from the repository root. We plan to do minor releases only, and limit changes in NuPIC and NuPIC Core to features needed to support ongoing research.
Python framework for asynchronous, concurrent, distributed programming
asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll...
GoAnywhere MFT provides secure managed file transfer for enterprises. Deployable on-premise, in the cloud, or in hybrid environments, GoAnywhere MFT software enables organizations to exchange data among employees, customers, and trading partners, as well as between systems, securely. GoAnywhere MFT was a recipient of the Cybersecurity Excellence Award for Secure File Transfer.
DISTributed Adaptable Executable (DISTae) is a software layer that allows the portability of programs among different heterogeneous computing units and run the different parts of the code simultaneously in a distributed and heterogeneous environment.
ActiveGrid is an Enterprise Web 2.0 solution that allows the composition of code-free applications that comply with corporate IT standards. Technologies include Python, Java, XForm, Xpath, WSDL, CSS, XML Schema (XSD), XACML, and BPEL.
Poor Man's HPC is a framework that allows distributing and running code on a server farm. pmHPC is a scaled down and simplified version of distributed computing projects such as SETI, so is a perfect fit for enthusiasts and universities.
The CCM Tools are CASE tools used for generating CORBA components, test components, and test programs based on source IDL files. Various target languages can be generated. Scripting language wrappers can also be generated to enable rapid prototyping.
JDisc Discovery supports the IT organizationss of medium-sized businesses and large-scale enterprises.
JDisc Discovery is a comprehensive network inventory and IT asset management solution designed to help organizations gain clear, up-to-date visibility into their IT environment. It automatically scans and maps devices across the network, including servers, workstations, virtual machines, and network hardware, to create a detailed inventory of all connected assets. This includes critical information such as hardware configurations, software installations, patch levels, and relationshipots between devices.
Multi Agent based distributed application. The code can be processed over multiple common machines with fault-tolerance. It is designed to distributively run any Python's script, which can be applied to a given input data set.