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pyCGNS is now on github:
https://pycgns.github.io/index.html
https://github.com/pyCGNS/pyCGNS
That project aims at providing a clean API, and the corresponding C++ implementation, for the basis of Airline IT Business Object Model (BOM), ie, to be used by several other OpenSource projects, such as RMOL, Air-Sched, Travel-CCM, OpenTREP, etc.
...It is intended
to be used in simulated environments only: it is not designed to work
in the real-world of Airline IT operations.
AirTSP/AirTSP makes an extensive use of existing open-source libraries
for increased functionality, speed and accuracy. In particular the
Boost (C++ Standard Extensions: http://www.boost.org) library is used.
AirTSP/AirTSP is the one of the components of the Travel Market Simulator
(http://www.travel-market-simulator). However, it may be used in a
stand-alone mode.
That project aims at delivering a reference implementation of a library, estimating and serving average prices paid for air travel products. It is not intended for use by an actual airline, but rather by simulators or other airline-related modules of
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That project aims at providing a clean API and a simple implementation, as a C++ library, of a Travel-oriented Distribution System. It corresponds to the simulated version of the real-world Computerized Reservation Systems (CRS).
That project aims at providing a clean API and a simple implementation, as a C++ library, of an Airline-related Inventory Management system. That library uses the Standard Airline IT C++ object model (http://sf.net/projects/stdair).
That project aims at studying and comparing typical airline IT methods, for instance RM-related algorithms. It works from a Unix/Linux/Mac command-line, and exposes basic APIs. It is being developed in C++, with Python wrappers for some components.
That project aims at studying and comparing typical airline IT methods, for instance RM-related algorithms. It works from a Unix/Linux/Mac command-line, and exposes basic APIs. It is being developed in C++, with Python wrappers for some components.
Pocomos is a cloud-based field service solution that caters to businesses
Built for the pest control industry, but also works great for Mosquito Control, Bin Cleaning, Window Washing, Solar Panel Cleaning, and other Home Service Businesses in need of an easy-to-use software that helps you simplify routing, scheduling, communications, payment processing, truck tracking, time tracking, and reporting.
NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.