Hapi vs CoreAI Zoo

Hapi is a simple, privacy-first mobile app for checking the health of your APIs directly from your device. Add your API endpoints, run quick health checks, and view response status and history without accounts, servers, or complicated setup. Everything runs locally on your phone. Hapi is designed as a lightweight companion for developers who want a fast way to check API health on the go, not a full uptime monitoring platform. What Hapi does: • Perform manual health checks against your API endpoints • View HTTP status codes and response timing • Store endpoint history locally on your device • Quickly refresh and review endpoint status • Home screen widgets for fast access (coming soon) Privacy first, by design: • No accounts or sign-ups • No proprietary backend servers • All endpoint data is stored locally on your device • Anonymous, minimal analytics and crash reporting only Your APIs stay yours. Pricing: • Hapi is free to get started. Upgrade to Hapi Unlimited with a one-time purchase to unlock: • Unlimited endpoints • Unlimited local history • Future features as they roll out No subscriptions. No recurring fees. Important notes: • Hapi does not provide uptime guarantees or alerts • Checks are run manually or on-device only • Endpoint availability depends on external systems Hapi is best used as a quick API health check tool, not mission-critical monitoring. Built for developers: Hapi is built by an indie developer who uses it daily, with a focus on speed, simplicity, and respecting your data. Have feedback or feature ideas? You’re always welcome to get in touch.

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.