Search Results for "github desktop portable"

The gSOAP toolkit is an extensive suite of portable C and C++ software to develop XML Web services with powerful type-safe XML data bindings. Easy-to-use code-generator tools allow you to directly integrate XML data in C and C++. Serializes native application data in XML. Includes WSDL/XSD schema binding and auto-coding tools, stub/skeleton compiler, Web server integration with Apache module and IIS extension, high-performance XML processing with schema validation, fast MIME/MTOM streaming,...

xmlfy converts text/UTF based output into XML formatted output using schema files and/or options to control its behaviour. By Arthur Gouros.

Linknx is an automation platform providing high level functionalities to EIB/KNX installation. The rules engine allows execution of actions based on complex logical conditions and timers. Lightweight design allows it to run on embedded Linux. The project has been migrated to Github in 2015: https://github.com/linknx/linknx

A very basic, portable, tiny parser for XML, written in C under the zlib license. It is designed to be used in memory constrained environments (smartphones for example). The end result will be a "DOM-like" collection of memory. A lot of things were chopped away to deliver the very basic support for XML, and this project does not aim to become a fully compliant parser; keep it basic, stay basic. Part of the design goal is to jam all of this in to one .C file and one .H file while...

NOTE: Current source code as well as bugs/patches are on GitHub: https://github.com/pocoproject/poco/ C++ class libraries for network-centric, portable applications, integrated perfectly with the C++ Standard Library. Includes network protocols (Sockets, HTTP, FTP, SMTP, POP3, etc.), SQL database access and XML parsing. Licensed under Boost license.

Tpl makes it easy to serialize your C data using just a handful of API functions. The data is stored in its native binary form for maximum efficiency. C, Perl and XML supported. Data is portable across CPU types and OS's from Unix to Mac to Windows.