CodefyUI

CodefyUI turns a deep learning pipeline into a graph you can see. You drag nodes for layers, losses, optimizers and data sources onto a canvas, connect them into a DAG, and run the whole thing from the browser. It exists so that students can understand what a model does before they write a line of boilerplate, and so that instructors can inspect exactly what every node produced.

Highlights

• 152 built-in nodes across 16 categories, covering CNN, RNN, Transformer and reinforcement learning building blocks.
• Teaching Inspector records the tensor output of every node so a class can step through a forward pass.
• Presets turn a finished graph into a reusable template; a multi-tab workspace keeps independent execution contexts side by side.
• WebSocket-driven execution with live progress, a run queue, parameter sweeps and partial re-execution of only the changed nodes.
• Type-safe edges reject invalid connections at design time.
• Custom node manager and plugin system; git-based source control integration.
• Interface available in English and Traditional Chinese.

Full documentation lives at docs.codefyui.com. The code is AGPL-3.0 licensed, with commercial licensing available.