Best Augmented Reality Development Platforms for Linux of 2025

MRTK-Unity is a Microsoft-led initiative that offers a comprehensive suite of components and functionalities designed to streamline the development of mixed reality applications across various platforms using Unity. It includes a versatile input system and foundational elements for spatial interaction and user interface creation. The framework allows developers to quickly prototype through in-editor simulations, providing instant feedback on modifications made. Additionally, it serves as an adaptable system where developers can easily interchange essential components. Among its features is a button control that accommodates multiple input methods, inclusive of the articulated hand tracking available on HoloLens 2. Users can also access a standard UI for the manipulation of objects within a three-dimensional environment. There are scripts available for object manipulation with either one or two hands, and a 2D-style plane that supports scrolling through articulated hand input. The toolkit includes scripts to enhance object interactivity with visual feedback and theme customization. Furthermore, it offers various object positioning behaviors, such as tag-along, body-lock, constant view size, and surface magnetism, along with a script designed for arranging an array of objects in a three-dimensional configuration, making it a robust choice for MR app developers. Ultimately, MRTK-Unity empowers developers to create immersive experiences with greater efficiency and flexibility.

AR face filters and real-time 3D masks in your mobile app. The industry's most advanced face-tracking technology. You can make your users feel like Snapchat with Snapchat-like filters, AR Lenses, and real-time facial animated. The Face Filters SDK offers the most engaging video effects that inspire and engage people. Empower your app using beauty AI & AR tools. Our beauty SDK & API provide the most powerful digital face enhancement tools. Users can create new looks in seconds by adoring their skin and eyes with digital makeup. Your video apps will benefit from real-time face technology. Provide a simple way for users to remove blemishes using photo apps. The neural network detects skin imperfections on a user's faces and retouches them according to their skin color. Users can manually tap on the desired area to make their skin perfect by manually removing skin defects from photos.