Manim is an animation engine for explanatory math videos. It's used to create precise animations programmatically, as demonstrated in the videos of 3Blue1Brown.
NOTE: This repository is maintained by the Manim Community and is not associated with Grant Sanderson or 3Blue1Brown in any way (although we are definitely indebted to him for providing his work to the world). If you would like to study how Grant makes his videos, head over to his repository (3b1b/manim). This fork is updated more frequently than his, and it's recommended to use this fork if you'd like to use Manim for your own projects.
WARNING: These instructions are for the community version only. Trying to use these instructions to install 3b1b/manim or instructions there to install this version will cause problems. Read this and decide which version you wish to install, then only follow the instructions for your desired version.
Manim requires a few dependencies that must be installed prior to using it. If you want to try it out first before installing it locally, you can do so in our online Jupyter environment.
For local installation, please visit the Documentation and follow the appropriate instructions for your operating system.
Manim is an extremely versatile package. The following is an example Scene
you can construct:
from manim import * class SquareToCircle(Scene): def construct(self): circle = Circle() square = Square() square.flip(RIGHT) square.rotate(-3 * TAU / 8) circle.set_fill(PINK, opacity=0.5) self.play(Create(square)) self.play(Transform(square, circle)) self.play(FadeOut(square))
In order to view the output of this scene, save the code in a file called example.py
. Then, run the following in a terminal window:
manim -p -ql example.py SquareToCircle
You should see your native video player program pop up and play a simple scene in which a square is transformed into a circle. You may find some more simple examples within this GitHub repository. You can also visit the official gallery for more advanced examples.
Manim also ships with a %%manim
IPython magic which allows to use it conveniently in JupyterLab (as well as classic Jupyter) notebooks. See the
corresponding documentation for some guidance and
try it out online.
The general usage of Manim is as follows:
The -p
flag in the command above is for previewing, meaning the video file will automatically open when it is done rendering. The -ql
flag is for a faster rendering at a lower quality.
Some other useful flags include:
-s
to skip to the end and just show the final frame.-n <number>
to skip ahead to the n
'th animation of a scene.-f
show the file in the file browser.For a thorough list of command line arguments, visit the documentation.
Documentation is in progress at ReadTheDocs.
The community also maintains a docker image (manimcommunity/manim
), which can be found on DockerHub.
Instructions on how to install and use it can be found in our documentation.
If you need help installing or using Manim, feel free to reach out to our Discord Server or Reddit Community. If you would like to submit a bug report or feature request, please open an issue.
Contributions to Manim are always welcome. In particular, there is a dire need for tests and documentation. For contribution guidelines, please see the documentation.
However, please note that Manim is currently undergoing a major refactor. In general, contributions implementing new features will not be accepted in this period. The contribution guide may become outdated quickly; we highly recommend joining our Discord server to discuss any potential contributions and keep up to date with the latest developments.
Most developers on the project use poetry
for management. You'll want to have poetry installed and available in your environment.
Learn more about poetry
at its documentation and find out how to install manim with poetry at the manim dev-installation guide in the manim documentation.
We acknowledge the importance of good software to support research, and we note that research becomes more valuable when it is communicated effectively. To demonstrate the value of Manim, we ask that you cite Manim in your work. Currently, the best way to cite Manim is to go to our repository page (if you aren't already) and click the "cite this repository" button on the right sidebar. This will generate a citation in your preferred format, and will also integrate well with citation managers.
Our full code of conduct, and how we enforce it, can be read on our website.
The software is double-licensed under the MIT license, with copyright by 3blue1brown LLC (see LICENSE), and copyright by Manim Community Developers (see LICENSE.community).
字节跳动发布的AI编程神器IDE
Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。
AI小说写作助手,一站式润色、改写、扩写
蛙蛙写作—国内先进的AI写作平台,涵盖小说、学术、社交媒体等多场景。提供续写、改写、润色等功能,助力创作者高效优化写作流程。界面简洁,功能全面,适合各类写作者提升内容品质和工作效率。
全能AI智能助手,随时解答生活与工作的多样问题
问小白,由元石科技研发的AI智能助手,快速准确地解答各种生活和工作问题,包括但不限于搜索、规划和社交互动,帮助用户在日常生活中提高效率,轻松管理个人事务。
实时语音翻译/同声传译工具
Transly是一个多场景的AI大语言模型驱动的同声传译、专业翻译助手,它拥有超精准的音频识别翻译能力,几乎零延迟的使用体验和支持多国语言可以让你带它走遍全球,无论你是留学生、商务人士、韩剧美剧爱好者,还是出国游玩、多国会议、跨国追星等等,都可以满足你所有需要同传的场景需求,线上线下通用,扫除语言障碍,让全世界的语言交流不再有国界。
一键生成PPT和Word,让学习生活更轻松
讯飞智文是一个利用 AI 技术的项目,能够帮助用户生成 PPT 以及各类文档。无论是商业领域的市场分析报告、年度目标制定,还是学生群体的职业生涯规划、实习避坑指南,亦或是活动策划、旅游攻略等内容,它都能提供支持,帮助用户精准表达,轻松呈现各种信息。
深度推理能力全新升级,全面对标OpenAI o1
科大讯飞的星火大模型,支持语言理解、知识问答和文本创作等多功能,适用于多种文件和业务场景,提升办公和日常生活的效率。讯飞星火是一个提供丰富智能服务的平台,涵盖科技资讯、图像创作、写作辅助、编程解答、科研文献解读等功能,能为不同需求的用户提供便捷高效的帮助,助力用户轻松获取信息、解决问题,满足多样化使用场景。
一种基于大语言模型的高效单流解耦语音令牌文本到语音合成模型
Spark-TTS 是一个基于 PyTorch 的开源文本到语音合成项目,由多个知名机构联合参与。该项目提供了高效的 LLM(大语言模型)驱动的语音合成方案,支持语音克隆和语音创建功能,可通过命令行界面(CLI)和 Web UI 两种方式使用。用户可以根据需求调整语音的性别、音高、速度等参数,生成高质量的语音。该项目适用于多种场景,如有声读物制作、智能语音助手开发等。
AI助力,做PPT更简单!
咔片是一款轻量化在线演示设计工具,借助 AI 技术,实现从内容生成到智能设计的一站式 PPT 制作服务。支持多种文档格式导入生成 PPT,提供海量模板、智能美化、素材替换等功能,适用于销售、教师、学生等各类人群,能高效制作出高品质 PPT,满足不同场景演示需求。
选题、配图、成文,一站式创作,让内容运营更高效
讯飞绘文,一个AI集成平台,支持写作、选题、配图、排版和发布。高效生成适用于各类媒体的定制内容,加速品牌传播,提升内容营销效果。
专业的AI公文写作平台,公文写作神器
AI 材料星,专业的 AI 公文写作辅助平台,为体制内工作人员提供高效的公文写作解决方案。拥有海量公文文库、9 大核心 AI 功能,支持 30 + 文稿类型生成,助力快速完成领导讲话、工作总结、述职报告等材料,提升办公效率,是体制打工人的得力写作神器。
最新AI工具、AI资讯
独家AI资源、AI项目落地
微信扫一扫关注公众号