# cai-hust/manim-tutorial-CN

manim中文入门教程

Repository: https://github.com/cai-hust/manim-tutorial-CN
Canonical: https://ross.abutalabs.com/products/manim-tutorial-cn
License Family: other
Topics: manim, tutorial, chinese
Last push: 2020-07-24T14:49:31+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2566, "days_push": 2231, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1231, forks 183 (observed 2026-08-28T04:04:04.347012+00:00)

## What it is
A Chinese-language introductory tutorial for Manim, the mathematical animation engine popularized by 3Blue1Brown. It covers executing scene files, positioning and playing animations, scenes, graphs, text and LaTeX, 2D/3D shapes, groups, camera control, and coordinate systems.

## Use cases
- learn manim animation from scratch in Chinese
- how to render and play manim videos
- create mathematical animations with manim
- draw 2D and 3D shapes in manim
- use LaTeX text in manim scenes
- animate graphs and coordinate systems in manim

## When to choose
- you are a Chinese-speaking beginner learning Manim
- you want a structured walkthrough of Manim's core classes and methods
- you need examples of scenes, shapes, and camera control in Manim

## When to avoid
- you need up-to-date documentation for the latest Manim Community edition
- you need an English-language tutorial
- you need official API reference rather than a tutorial

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, graphics, animation
- domain: education, tutorials, graphics, developer-tools
- platform: python, cross-platform
- tags: manim, chinese, tutorial, mathematical-animation, 3blue1brown

## Member repositories
- cai-hust/manim-tutorial-CN (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:04.347012+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 2026-08-30T08:22:25.466507+00:00, confidence not recorded.
  - readme: https://github.com/cai-hust/manim-tutorial-CN (fetched 2026-08-28T04:04:04.347012+00:00, sha f0bdb9282e63)
- Data as of 2026-08-30T08:39:29.467469+00:00.