Python package for integrating machine learning into apps using Core ML. Enables model conversion and optimization.
General-purpose programming language built with a modern approach to safety, performance, and software design patterns. Features include type safety, memory safety, and high performance.
Framework for creating powerful apps for medical research. Enables collection of health data and research participation.
Collaboration platform for password manager creators and users to improve password management.
Web content engine powering Safari and other browsers. Provides a comprehensive framework for rendering web content with modern web standards support.
Distributed key-value store providing strong ACID transactions while scaling to support massive workloads. Features high performance and fault tolerance.
Array framework optimized for machine learning research on Apple silicon. Features NumPy-like API and neural network packages.
Networking framework that evolves with your application.
Event-driven, non-blocking network application framework for high-performance protocol servers and clients.
Framework for creating apps that help people manage their care plans and communicate with their care team.
Embedded configuration language with rich support for validation and tooling.
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