Manim - Mathematical Animation Engine
Manim is an animation engine for explanatory math videos. It's used to create precise animations programmatically.
git clone https://github.com/3b1b/manim.git cd manim python3 -m pip install -r requirements.txt python3 -m manim example_scenes.py SquareToCircle -pl
git clone https://github.com/3b1b/manim.git mkvirtualenv -a manim -r requirements.txt manim python3 -m manim example_scenes.py SquareToCircle -pl
Since it's a bit tricky to get all the dependencies set up just right, there is a Dockerfile provided in this repo as well as a premade image on Docker Hub.
The image does not contain a copy of the repo. This is intentional, as it allows you to either bind mount a repo that you've cloned locally or clone any fork/branch you want. Since test coverage is painfully lacking, the image may not have dependencies for all of manim.
- Install Docker
- Get the docker image
- Pull it (recommended):
docker pull eulertour/manim:latest, or
- Build it:
docker build -t manim .
- Start the image
- Bind mount a local repo (recommended):
docker run -itv /absolute/path/to/your/local/manim/repo:/root/manim eulertour/manimor
- Clone a remote repo:
docker run -it eulertour/manim, then
git clone https://github.com/eulertour/manim.git
- Render an animation
cd manim python3 -m manim example_scenes.py SquareToCircle -l
Note that the image doesn't have any development tools installed and can't preview animations. Its purpose is building and testing only.
Try running the following:
python3 -m manim example_scenes.py SquareToCircle -pl
The -p is for previewing, meaning the the video file will automatically open when it is done rendering. Use -l for a faster rendering at a lower quality. Use -s to skip to the end and just show the final frame. Use -n (number) to skip ahead to the n'th animation of a scene. Use -f to show the file in finder (for osx)
Set MEDIA_DIR environment variable to determine where image and animation files will be written.
Look through the old_projects folder to see the code for previous 3b1b videos. Note, however, that developments are often made to the library without considering backwards compatibility on those old_projects. To run them with a guarantee that they will work, you will have to go back to the commit which complete that project.
While developing a scene, the
-sp flags are helpful to just see what things look like at the end without having to generate the full animation. It can also be helpful to use the
-n flag to skip over some number of animations.
Documentation is in progress at manim.readthedocs.io.
Todd Zimmerman put together a tutorial on getting started with manim, which has been updated to run on python 3.7.
To live stream your animations, simply run manim with the
> python -m manim --livestream Writing to media/videos/scene/scene/1080p30/LiveStreamTemp.mp4 Manim is now running in streaming mode. Stream animations by passing them to manim.play(), e.g. >>> c = Circle() >>> manim.play(ShowCreation(c)) >>>
It is also possible to stream directly to Twitch. To do that simply pass --livestream and --to-twitch to manim and specify the stream key with --with-key. Then when you follow the above example the stream will directly start on your Twitch channel (with no audio support).
Is always welcome. In particular, there is a dire need for tests and documentation.
All files in the directories active_projects and old_projects, which by and large generate the visuals for 3b1b videos, are copyright 3Blue1Brown.
The general purpose animation code found in the remainder of the repository, on the other hand, is under the MIT license.