Swift

🔧🔗https://github.com/alexeichhorn/YouTubeKit

YouTube video and audio extractor for iOS, watchOS, visionOS, tvOS and macOS

🔧🔗https://github.com/rsyncOSX/RsyncUI

A SwiftUI based macOS GUI for rsync.

https://github.com/anyproto/anytype-swift Official Anytype client for iOS

https://github.com/drawthingsai/draw-things-community The community repository for the Draw Things app.

Swift for NNC

🔧🔗https://github.com/liuliu/s4nnc s4nnc is a Swift interface for libnnc library.

From the very start, libnnc is meant to be a common runtime that supports many language bindings. It becomes apparent during the development that for deep learning, a raw C interface would be unwieldy complex to use in real-life

https://github.com/element-hq/element-x-ios Next generation Matrix client for iOS built with SwiftUI on top of matrix-rust-sdk.

Sentry - Apple

🔧🔗https://github.com/getsentry/sentry-cocoa

The official Sentry SDK for iOS, tvOS, macOS, watchOS.

🔧🔗https://github.com/cirruslabs/tart

macOS and Linux VMs on Apple Silicon to use in CI and other automations

Examples using MLX Swift

🔧🔗https://github.com/mastodon/mastodon-ios

Official iOS app for Mastodon

https://github.com/huggingface/swift-transformers Swift Package to implement a transformers-like API in Swift

Swift API for MLX

🔧🔗https://github.com/rsyncOSX/RsyncOSX

A GUI for rsync

Swift Diffusion

🔧🔗https://github.com/liuliu/swift-diffusion This is a single-file re-implementation of Stable Diffusion model. It includes CLIP text tokenizer, the models for CLIP text encoder,

🔧🔗https://github.com/sindresorhus/Gifski

🌈 Convert videos to high-quality GIFs on your Mac

🔧🔗https://github.com/tree-sitter/swift-tree-sitter Swift API for the tree-sitter incremental parsing system

🔧🔗https://github.com/modelcontextprotocol/swift-sdk

The official Swift SDK for Model Context Protocol servers and clients. Maintained in collaboration with @loopwork-ai.

Swift Fickling

🔧🔗https://github.com/liuliu/swift-fickling This is inspired by work from Trail of Bits on Fickling. Many Stable Diffusion models are published in pickle format. Pickle format has been traditionally tied to a Python installation. This limitation exists also because pickle has the liberty to call into any Python function they want and allows you to override certain part of serialization (i.e. using external files and serialize only so-called persistent_id).

As such, there are also security implications on deserializing untrusted pickle format per https://blog.trailofbits.com/2021/03/15/never-a-dill-moment-exploiting-machine-learning-pickle-files/.

swift-fickling while taking name from Fickling doesn't do static analyze or decompilation yet. It simply read the pickle opcodes, execute them on a Swift implemented pickle VM within the context you provided. Thus, we side-stepped the security implications by silencing outside function calls unless you explicitly providing them.

This turns out to be just enough to deserialize PyTorch based pickle files without Python installation.

Swift Binding for MuJoCo

🔧🔗https://github.com/liuliu/swift-mujoco This is a Swift binding for MuJoCo physics simulation library.

Swift SentencePiece

🔧🔗https://github.com/liuliu/swift-sentencepiece SentencePiece's Swift wrapper.