VisuStruct vs CoreAI Zoo

Think in Structures. Understand Algorithms. Write Better Code. VisuStruct makes programming logic visible. Design algorithms visually using Nassi-Shneiderman diagrams, run them step by step with the built-in simulator, and turn your structures into real code — without getting lost in syntax. Whether you are learning programming, teaching computer science, or explaining algorithms, VisuStruct helps you focus on what really matters: understanding how a program works. Visualize. Simulate. Understand. Program. Why VisuStruct? • Build algorithms visually with an intuitive editor • Create Nassi-Shneiderman diagrams quickly and clearly • Execute algorithms step by step — like a visual debugger • See exactly how your algorithm flows • Generate code automatically • Learn programming logic before worrying about syntax • Perfect for students, teachers, and programming beginners From your first algorithm to more complex control structures, VisuStruct bridges the gap between **thinking about a solution and writing code**. Stop guessing what your program does. See it.

CoreAI Zoo puts the open-weight AI model zoo on your iPhone, iPad and Mac. Pick a model, download it once, and run it entirely on your device. No account, no server, and nothing you type, say or photograph ever leaves the device. CHAT Stream answers from open language models such as Qwen3, Gemma, LFM2.5, Granite and Mistral, from 0.6B to 30B+ parameters depending on your device's memory. Vision-language models (Qwen3-VL, MiniCPM-V, LFM2.5-VL) answer questions about your photos. VISION Ask questions about an image, read text with on-device OCR, and describe what the camera sees. AUDIO Transcribe speech with Whisper large-v3-turbo, Parakeet and Qwen3-ASR. Talk to an audio-understanding model, generate speech with Kokoro and VoxCPM, and try on-device music generation. CAMERA Live depth estimation, object detection (YOLOX, RF-DETR), action recognition and super-resolution on the camera feed. TOOLS Experimental models such as diffusion-based language models. BENCH Measure load time, tokens per second and memory for any chat model on your own hardware. HOW IT WORKS Every model runs through Core ML on Apple silicon. Weights are downloaded from the Hugging Face Hub on first use over HTTPS, then cached, so the app works offline afterwards. One model is resident at a time to stay within memory limits. New models arrive through a live catalog without an app update. GETTING STARTED Start with Qwen3-0.6B (454 MB) for the fastest first run. Larger models state the free space and memory they need; a recent iPhone Pro or an Apple silicon Mac runs the mid-size ones comfortably. Model weights follow their own licenses, listed on each model's Hugging Face page. The app itself is BSD-3-Clause and part of the open CoreAI model zoo. Report issues and request models at github.com/john-rocky/coreai-model-zoo.