Showing 6 open source projects for "data mapping"

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    TreeFrog Framework

    TreeFrog Framework

    TreeFrog Framework, High-speed C++ MVC Framework for Web Applications

    TreeFrog Framework is a high-speed and full-stack C++ framework for developing Web applications, which supports HTTP and WebSocket protocol. Web applications can run faster than that of scripting language because the server-side framework was written in C++/Qt. In application development, it provides an O/R mapping system and template systems on an MVC architecture, aims to achieve high productivity through the policy of convention over configuration. TreeFrog Framework is cross-platform. It...
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  • 2
    Oat++

    Oat++

    Light and powerful C++ web framework for web applications

    ...With Oat++ Async-API you can handle over 5 Million concurrent connections on a single server. Oat++ ORM provides an easy and unified way to access databases. Oat++ relies on Object-Mapping throughout its codebase to ensure consistency of APIs and data models. Automatically document endpoints with Swagger-UI and OpenAPI 3.0.0. Oat++ is used for many different purposes, from building REST APIs that run on embedded devices to building microservices and highly-loaded cloud applications. Theoretically, Oat++ can be easily ported everywhere where you have threads and network stack. ...
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  • 3
    MicroCity is a framework for spatial analysis and simulation. It is lightweight, fast, portable, extendable and user friendly. Users can easily operate large GIS and Grid data and perform Spatial, Fractal, Network analysis and simulation.
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  • 4
    opticks
    UPDATE March 14, 2018 Repository and tracking officially moved to github. https://github.com/opticks-org/opticks Sourceforge mailing lists are still in use. Opticks is an open source remote sensing application and development framework.
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  • 5
    PerfCache

    PerfCache

    A high-performance C++ cache library implementing O(1) LRU and LFU.

    PerfCache is an API that allows for creation and management of a memory cache. It includes basic cache operations (insert and retrieve), replacement policies, and expiration. Cache entry keys are strings of bytes, and data items are arrays of bytes. Variable length keys and data are supported. The cache itself is implemented as an array. The cache infrastructure includes a directory, mapping cache entry keys to cache array indices, and a sub-system for handling cache entry replacement metadata. The LRU and LFU replacement policies are supported; the replacement metadata management overhead is O(1). ...
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  • 6
    GeoDMS is a framework for spatial planning and land use change modelling
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