Search Results for "columba source code" - Page 5
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Showing 106 open source projects for "columba source code"
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The FreeBIOS project aims to provide a replacement for any computer's firmware, and support advanced or custom features and configurations. Initial code supports Intel-based only, but other processors and chipsets will be supported.
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Queue is a load-balancing system popular in the 2000s that lets users control their remote jobs in an intuitive, transparent and nearly seamless way. Development versions feature job migration with and without kernel support. GNU Queue continues to be downloaded despite being decommissioned by the FSF in favor of the newer GNU Parallel project. Older versions of the code are archived here on Sourceforge and some later versions on GNU Savannah.
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Embedded churn will provide developers the freedom to configure an embedded system for any target architecture from a defined template . The ability to deploy the custom image on a flash based device depending on the application of the embedded linux de
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Mpp Project
MPP is a C-based programming language that allows you to code more eas
MPP is a C-based programming language that allows you to code more easily . #IDE : WMPP new features - a minimap has been added in order to improve navigation though the source code. - Code autocomplete - Status information - sidebar menu -Simple & Fast -Syntax highlighting -Compiling -Tabs [+] Supported languages : MPP, PHP, SQL, VB, HTML -
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LynxOS is a new operating system kernel using UNIX-like OS model, which would be developed in C and assembly for the intel IA-32 architecture of processors. It provides clean code and priciple implementation in our own mind, not refering to existing OS.
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context_menu
A Python library to create and deploy cross-platform native context
A Python library to create and deploy cross-platform native context. context_menu was created as due to the lack of an intuitive and easy to use cross-platform context menu library. The library allows you to create your own context menu entries and control their behavior seamlessly in native Python code. It's fully documented and used by over 80,000 developers worldwide.
