showlab/Code2Video

Health v2 · maintenance only

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2003 stars · 288 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Code2Video is a research framework from Show Lab (NUS) that generates educational videos by having multi-agent LLM pipelines write and render code (e.g., Manim-style animations) rather than using diffusion video models. It targets precise, deterministic explainer videos for topics like math, algorithms, and neural networks.

Use cases

• generate educational explainer videos from a topic
• create math or algorithm animation videos automatically
• use LLM agents to write animation code for teaching
• produce deterministic tutorial videos instead of diffusion-generated video
• make lecture-style videos for concepts like Fourier series or backpropagation

When to choose

• you need precise, text-accurate educational videos that diffusion models render poorly
• you want programmatic, reproducible video generation via code
• you're researching code-centric video generation or multi-agent pipelines

When to avoid

• you want photorealistic or cinematic video footage
• you need a polished end-user app rather than a research codebase
• you don't have access to capable LLM APIs to drive the agents

Facets

library · maturity active

video-processing agent-framework llm-inference artificial-intelligence education large-language-models python cross-platform educational-video-generation code-as-video multi-agent-llm manim research-project icml-2026 code-generation ai-agents video

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For agents

markdown · JSON · MCP: product_card(name="showlab/Code2Video")