Skip to main content

Animation engine for explanatory math videos.

Project description



PyPI Latest Release Docker image MIT License Reddit Twitter Discord Code style: black Documentation Status Downloads CI

An animation engine for explanatory math videos


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.

Table of Contents:

Installation

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.

Usage

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.

Command line arguments

The general usage of Manim is as follows:

manim-illustration

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

Documentation is in progress at ReadTheDocs.

Docker

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.

Help with Manim

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.

Contributing

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.

How to Cite Manim

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.

Code of Conduct

Our full code of conduct, and how we enforce it, can be read on our website.

License

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).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

anim-community-auoie-0.17.10.tar.gz (58.3 kB view details)

Uploaded Source

Built Distribution

anim_community_auoie-0.17.10-py3-none-any.whl (103.2 kB view details)

Uploaded Python 3

File details

Details for the file anim-community-auoie-0.17.10.tar.gz.

File metadata

  • Download URL: anim-community-auoie-0.17.10.tar.gz
  • Upload date:
  • Size: 58.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.10.1 urllib3/1.26.12 tqdm/4.64.1 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.8

File hashes

Hashes for anim-community-auoie-0.17.10.tar.gz
Algorithm Hash digest
SHA256 2598a47c7cb8427690fb8feab774025d32637543ad0d3a5b592c6aca39eab44d
MD5 9f6398813b56d2093bdfcb8b05689842
BLAKE2b-256 f5e2343289d3486b0db48170e36952813771b8f261428559346233487e81aaf4

See more details on using hashes here.

File details

Details for the file anim_community_auoie-0.17.10-py3-none-any.whl.

File metadata

  • Download URL: anim_community_auoie-0.17.10-py3-none-any.whl
  • Upload date:
  • Size: 103.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.3 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.10.1 urllib3/1.26.12 tqdm/4.64.1 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.8

File hashes

Hashes for anim_community_auoie-0.17.10-py3-none-any.whl
Algorithm Hash digest
SHA256 a2f9626fc3703e0434020e841883fc50911b687d57f43947b33adbf561126dff
MD5 267d05fca328795f3902d50a7b6a70fa
BLAKE2b-256 cc1bcbaee23b352781cad5c965854d49685a751becc1bcd4670f01ce395bede0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page