Showing 4 open source projects for "ram linux"

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  • 1
    ArduinoJson

    ArduinoJson

    JSON library for Arduino and embedded C++. Simple and efficient

    ArduinoJson is a C++ JSON library for Arduino and IoT (Internet Of Things). ArduinoJson has a simple and intuitive syntax to handle objects and arrays. ArduinoJson supports both JSON serialization and deserialization. ArduinoJson uses a fixed memory allocation, allowing to work on devices with very little RAM. ArduinoJson can filter large inputs to keep only fields that are relevant to your application, thereby saving a lot of memory. ArduinoJson can parse directly from an input Stream or...
    Downloads: 33 This Week
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  • 2
    StringZilla

    StringZilla

    10x faster string search, split, sort, and shuffle for long strings

    StringZilla is the Godzilla of string libraries, splitting, sorting, and shuffling large textual datasets. StringZilla uses a heuristic so simple it's almost stupid... but it works. It matches the first few letters of words with hyper-scalar code to achieve memcpy speeds. The implementation fits into a single C 99 header file and uses different SIMD flavors and SWAR on older platforms. The Str is designed to replace long Python str strings and wrap our C-level API. On the other hand, the...
    Downloads: 3 This Week
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  • 3
    Vince's CSV Parser

    Vince's CSV Parser

    A modern C++ library for reading, writing, and analyzing CSV

    There's plenty of other CSV parsers in the wild, but I had a hard time finding what I wanted. Inspired by Python's csv module, I wanted a library with simple, intuitive syntax. Furthermore, I wanted support for special use cases such as calculating statistics on very large files. With the deluge of large datasets available, a performant CSV parser is a necessity. By using overlapped threads, memory-mapped IO, and efficient data structures, this parser can quickly tackle large CSV files....
    Downloads: 2 This Week
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  • 4
    Cutelyst

    Cutelyst

    Web Framework built on top of Qt, using the approach of Catalyst

    ...Running standalone or behind a web server is really easy. With your application logic written in C++ your application get's really small, a full CMS (like this one) uses around 5MB of RAM which can be shared with other instances of the same application.
    Downloads: 0 This Week
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