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Different platforms often have different user interface conventions, which cross-platform applications do not always accommodate. For example, applications developed for macOS and GNOME are supposed to place the most important button on the right-hand side of a window or dialog, whereas Microsoft Windows and KDE have the opposite convention.
Windows Runtime (WinRT) is a platform-agnostic component and application architecture first introduced in Windows 8 and Windows Server 2012 in 2012. It is implemented in C++ and officially supports development in C++ (via C++/WinRT , C++/CX or WRL), Rust/WinRT , Python/WinRT , JavaScript - TypeScript , and the managed code languages C# and ...
The "Users" page in Discourse serves as a leader-board with search functionality. It includes statistics such as posts created, posts read, likes received, and days visited for a given time frame. Users can be sorted according to any of those metrics. Admins can optionally add more metrics.
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Codeanywhere is platform agnostic, enabling the user to run code in Codeanywhere's environments called DevBoxes or connect to their own VMs via SSH or FTP protocol and also connect to Dropbox and Google Drive. [2] The environment supports more than 75 programming languages, including HTML, JavaScript, Node.js, io.js PHP, Ruby, Python, and Go. [3]
We are platform agnostic and operating system agnostic. Everyone is welcome to register as a member, download and play with any application, contribute to discussion threads and create or comment on blog entries. As a developer you can upload your own applications, showcase your work and get useful feedback from other members.
Over the years more and more features were added such as tilemap support, a particle system, and limited network support. Leading up to 2018, discussions around migrating GDevelop to a more portable and platform-agnostic base were made, and in January 2018 GDevelop 5 was released. [34] Until GDevelop 5, the main engine was the C++ engine (GDCpp).
DVC is a free and open-source, platform-agnostic version system for data, machine learning models, and experiments. [1] It is designed to make ML models shareable, experiments reproducible, [2] and to track versions of models, data, and pipelines. [3] [4] [5] DVC works on top of Git repositories [6] and cloud storage. [7]