# HarleyCoops/Math-To-Manim-lfs-archive

Create Epic Math and Physics Animations & Study Notes From Text and Images.

Repository: https://github.com/HarleyCoops/Math-To-Manim-lfs-archive
Canonical: https://ross.abutalabs.com/products/math-to-manim-lfs-archive
Language: Python
License: MIT
License Family: permissive
Last push: 2026-08-21T04:54:14+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 68, longevity 42
- inputs: {"age_days": 590, "days_push": 12, "days_rel": 58, "gap_med": 163, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2495, forks 271 (observed 2026-08-28T04:06:56.678892+00:00)

## What it is
A Python project that turns math and physics questions into reasoned visual explanations rendered as Manim animations and study notes. It uses LLM pipelines (including an MCP server) to plan, verify, and generate the animations.

## Use cases
- generate manim animations from a math question
- create physics visual explainers from text or images
- make study notes with animated math visuals
- use an MCP server to produce math explainer videos
- visualize polynomial or calculus concepts as animations
- build educational math videos with LLM assistance

## When to choose
- you want LLM-generated Manim animations for math or physics concepts
- you need step-by-step reasoned visual explanations rather than raw code
- you want to integrate animation generation into an MCP-capable AI workflow

## When to avoid
- you need deterministic, hand-authored Manim scenes without LLM involvement
- you want lightweight math plotting without video rendering
- you cannot run large LLM models or lack API access

## Facets
- artifact type: library
- maturity: active
- function: llm-inference, agent-framework, mcp, animation, data-visualization, prompt-engineering
- domain: education, mathematics, large-language-models, data-visualization, developer-tools
- platform: python, cli
- tags: manim, math-animations, physics-animations, study-notes, visual-explainers, llm-generated-video, educational-content, ai-agents, desktop

## Member repositories
- HarleyCoops/Math-To-Manim-lfs-archive (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:56.678892+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:27:12.965118+00:00, confidence not recorded.
  - readme: https://github.com/HarleyCoops/Math-To-Manim-lfs-archive (fetched 2026-08-28T04:06:56.678892+00:00, sha b260779587d7)
- Data as of 2026-08-30T08:39:29.467469+00:00.