Best AI tools for< Swiftui Developer >

WrapFast is a SwiftUI boilerplate that helps developers create AI wrappers and iOS apps quickly and easily. It provides pre-written code for common tasks such as authentication, onboarding, in-app purchases, paywalls, securing API keys, cloud database, analytics, settings, and collecting user feedback. WrapFast is designed to save developers time and effort, allowing them to focus on building their core features. It is suitable for both experienced iOS developers and beginners who are new to the platform.

IXEAU is an AI-powered application developed by App ahead GmbH that offers a range of innovative features such as AI transcription, speech-to-text conversion, photo text-to-image transformation, stable diffusion codepoint, and more. With over 73,000 unicodes, IXEAU provides users with a comprehensive toolset for various tasks. The application also includes unique functionalities like Superlayer Widgets, Cursor Pro Mouse Highlighter & Magnifier, and Keystroke Pro for visualizing keypresses. IXEAU is designed to enhance user productivity and efficiency across different platforms and devices.

Ollama-SwiftUI is a user-friendly interface for Ollama.ai created in Swift. It allows seamless chatting with local Large Language Models on Mac. Users can change models mid-conversation, restart conversations, send system prompts, and use multimodal models with image + text. The app supports managing models, including downloading, deleting, and duplicating them. It offers light and dark mode, multiple conversation tabs, and a localized interface in English and Arabic.

A sleek and powerful macOS client for Amazon Bedrock, bringing AI models to your desktop. It provides seamless interaction with multiple Amazon Bedrock models, real-time chat interface, easy model switching, support for various AI tasks, and native Dark Mode support. Built with SwiftUI for optimal performance and modern UI.

visionOS-examples is a repository containing accelerators for Spatial Computing. It includes examples such as Local Large Language Model, Chat Apple Vision Pro, WebSockets, Anchor To Head, Hand Tracking, Battery Life, Countdown, Plane Detection, Timer Vision, and PencilKit for visionOS. The repository showcases various functionalities and features for Apple Vision Pro, offering tools for developers to enhance their visionOS apps with capabilities like hand tracking, plane detection, and real-time cryptocurrency prices.

Ollama is a lightweight, extensible framework for building and running language models on the local machine. It provides a simple API for creating, running, and managing models, as well as a library of pre-built models that can be easily used in a variety of applications. Ollama is designed to be easy to use and accessible to developers of all levels. It is open source and available for free on GitHub.

NotesOllama is a tool that allows users to communicate with local LLMs in Apple Notes. It is built using SwiftUI for the user interface, AXSwift to access Notes through macOS's accessibility API, and OllamaKit to interface with Ollama. Users can customize prompts by editing the commands.json file. The tool assumes Ollama is running on the default macOS port. Support the development by checking out the plugin NotesCmdr. Licensed under MIT License by Anders Rex in 2024.

The Spezi LLM Swift Package includes modules that help integrate LLM-related functionality in applications. It provides tools for local LLM execution, usage of remote OpenAI-based LLMs, and LLMs running on Fog node resources within the local network. The package contains targets like SpeziLLM, SpeziLLMLocal, SpeziLLMLocalDownload, SpeziLLMOpenAI, and SpeziLLMFog for different LLM functionalities. Users can configure and interact with local LLMs, OpenAI LLMs, and Fog LLMs using the provided APIs and platforms within the Spezi ecosystem.

LLM.swift is a simple and readable library that allows you to interact with large language models locally with ease for macOS, iOS, watchOS, tvOS, and visionOS. It's a lightweight abstraction layer over `llama.cpp` package, so that it stays as performant as possible while is always up to date. Theoretically, any model that works on `llama.cpp` should work with this library as well. It's only a single file library, so you can copy, study and modify the code however you want.

Ollamac is a macOS app designed for interacting with Ollama models. It is optimized for macOS, allowing users to easily use any model from the Ollama library. The app features a user-friendly interface, chat archive for saving interactions, and real-time communication using HTTP streaming technology. Ollamac is open-source, enabling users to contribute to its development and enhance its capabilities. It requires macOS 14 or later and the Ollama system to be installed on the user's Mac with at least one Ollama model downloaded.

SWIFT (Scalable lightWeight Infrastructure for Fine-Tuning) supports training, inference, evaluation and deployment of nearly **200 LLMs and MLLMs** (multimodal large models). Developers can directly apply our framework to their own research and production environments to realize the complete workflow from model training and evaluation to application. In addition to supporting the lightweight training solutions provided by [PEFT](https://github.com/huggingface/peft), we also provide a complete **Adapters library** to support the latest training techniques such as NEFTune, LoRA+, LLaMA-PRO, etc. This adapter library can be used directly in your own custom workflow without our training scripts. To facilitate use by users unfamiliar with deep learning, we provide a Gradio web-ui for controlling training and inference, as well as accompanying deep learning courses and best practices for beginners. Additionally, we are expanding capabilities for other modalities. Currently, we support full-parameter training and LoRA training for AnimateDiff.

Air-gapped Virtual Assistant / Personal Language Server

Expert in Swift and SwiftUI development and troubleshooting.

Skilled in Swift, SwiftUI, Unity, RealityKit

Your SwiftUI coding companion

A supportive SwiftUI expert guiding learners.

SwiftUI expert for Apple apps

SwiftUI guide with a touch of humor for beginners.

Has up-to-date knowledge of SwiftUI

Helps you build anything from websites to games and apps using JavaScript, SwiftUI, Kotlin, Unity, Flutter, and Glowbom AI Extensions.