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Source channel @githubtrending · Post #15303 · Dec 4

#ruby#hotwire#kanban#rails#ruby Fizzy is an open-source Kanban tool by 37signals that helps you visually track tasks and ideas using boards with columns. You can set it up easily, run it locally or with MySQL, and test it with built-in commands. It supports email previews and web push notifications for updates. Fizzy is designed to be simple, modern, and customizable, letting you self-host for full control over your data. It also offers a companion SaaS gem for billing and production setups. This means you get a flexible, transparent way to manage projects and workflows, with the option to run it yourself or use a hosted service. https://github.com/basecamp/fizzy

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@githubtrending · Post #15600 · 04/04/2026, 11:30 AM

#python#apple_silicon#florence2#idefics#llava#llm#local_ai#mlx#molmo#paligemma#pixtral#vision_framework#vision_language_model#vision_transformer MLX-VLM lets you run, chat with, and fine-tune Vision Language Models (VLMs) plus audio/video models on your Mac using MLX—install easily with `pip install -U mlx-vlm`. Use CLI for quick text/image/audio generation (e.g., `mlx_vlm.generate --model ... --image photo.jpg`), Gradio UI for chats, Python scripts, or a FastAPI server with OpenAI-compatible endpoints supporting multi-images/videos. Features like TurboQuant cut KV cache memory by 76%, and LoRA/QLoRA fine-tuning works on consumer hardware. You benefit by experimenting with powerful multimodal AI locally—fast, memory-efficient, no cloud costs, perfect for Mac users tweaking models affordably. https://github.com/Blaizzy/mlx-vlm