manimGL: A Python repository from jCodingStuff

Manim is an engine for precise programmatic animations, designed for creating explanatory math videos.

Note, there are two versions of manim. This repository began as a personal project by the author of 3Blue1Brown for the purpose of animating those videos, with video-specific code available here. In 2020 a group of developers forked it into what is now the community edition, with a goal of being more stable, better tested, quicker to respond to community contributions, and all around friendlier to get started with. See this page for more details.

Installation

WARNING: These instructions are for ManimGL only. Trying to use these instructions to install ManimCommunity/manim or instructions there to install this version will cause problems. You should first decide which version you wish to install, then only follow the instructions for your desired version.

Note: Unfortunately, you cannot install this fork of manimgl through a package manager such as pip. Therefore, you will have to perform a manual installation.

Manim runs on Python 3.7 or higher.

System requirements are FFmpeg, OpenGL and LaTeX (optional, if you want to use LaTeX). For Linux, Pango along with its development headers are required. See instruction here.

Directly (Windows)

Install FFmpeg.
Install a LaTeX distribution. MiKTeX is recommended.

Install the remaining Python packages.

git clone https://github.com/3b1b/manim.git
cd manim
pip install -e .
manimgl example_scenes.py OpeningManimExample

Mac OSX

Install FFmpeg, LaTeX in terminal using homebrew.
```
brew install ffmpeg mactex
```

Install latest version of manim using these command.

git clone https://github.com/3b1b/manim.git
cd manim
pip install -e .
manimgl example_scenes.py OpeningManimExample

Anaconda Install

Install LaTeX as above.
Create a conda environment using conda create -n manim python=3.8.
Activate the environment using conda activate manim.
Install manimgl using pip install -e ..

Using manim

Try running the following:

manimgl example_scenes.py OpeningManimExample

This should pop up a window playing a simple scene.

Some useful flags include:

-w to write the scene to a file
-o to write the scene to a file and open the result
-s to skip to the end and just show the final frame.
- -so will save the final frame to an image and show it
-n <number> to skip ahead to the n'th animation of a scene.
-f to make the playback window fullscreen

Take a look at custom_config.yml for further configuration. To add your customization, you can either edit this file, or add another file by the same name "custom_config.yml" to whatever directory you are running manim from. For example this is the one for 3blue1brown videos. There you can specify where videos should be output to, where manim should look for image files and sounds you want to read in, and other defaults regarding style and video quality.

Look through the example scenes to get a sense of how it is used, and feel free to look through the code behind 3blue1brown videos for a much larger set of example. Note, however, that developments are often made to the library without considering backwards compatibility with those old videos. To run an old project with a guarantee that it will work, you will have to go back to the commit which completed that project.

Documentation

Documentation is in progress at 3b1b.github.io/manim. And there is also a Chinese version maintained by @manim-kindergarten: docs.manim.org.cn (in Chinese).

manim-kindergarten wrote and collected some useful extra classes and some codes of videos in manim_sandbox repo.

Contributing

Is always welcome. As mentioned above, the community edition has the most active ecosystem for contributions, with testing and continuous integration, but pull requests are welcome here too. Please explain the motivation for a given change and examples of its effect.

License

This project falls under the MIT license.

Contributions of this fork

Physics engine

Support and animation for a physical system, which is a collection of bodies in space and forces acting among them.

manimlib.physics.body.Body represents a physical body with mass, charge, position, and velocity. It can also handle a manimlib.mobject.mobject.Mobject instance to represent the body in space and a manimlib.mobject.geometry.Polyline instance to track its path through space. The latter is only to be used in 2D animations.

manimlib.physics.force.Force is an abstract class represent a force among a set of Body instances. It may also manage a set of Mobject instances to represent the force graphically. Available subclasses of Force are LangevinFrictionForce, LangevinHeatBathForce, NewtonGravitationalForce, HarmonicBondForce, MorseBondForce, HarmonicAngleForce, and CoulombForce. Each subclass handles its own parameters. For details, see manimlib/physics/force.py.

manimlib.physics.physical_system.PhysicalSystem is a subclass of manimlib.mobject.mobject.Group, which is in turn a subclass of Mobject. This way, PhysicalSystem objects can be handled by manimlib.animation.animation.Animation instances. It handles a set of Body and Force instances. There exist subclasses of PhysicalSystem such as GravitationalSystem that allow the user to just define a set of bodies, and then automatically generate the forces with the fill_forces instance method.

manimlib.animation.physics.EvolvePhysicalSystem is a subclass of Animation that evolves a PhysicalSystem instance over time. After the overall force on each body i has been computed, it computes the accelerations with F_i = m_i * a_i, which are then passed to the time integrator. For details, see manimlib/animation/physics.py.
Perhaps an important detail are the foreground_mobjects and background_mobjects parameters in the EvolvePhysicalSystem constructor. Since handling the Mobject instances in the system can become complicated, the rendering order of ALL Mobject objects in the scene can (and probably will) be altered. Therefore, it is important to let EvolvePhysicalSystem know what lays on top and below the Mobject instances of the system.

Examples scenes illustrating how to use this engine are located in example_scenes.py under the class names NewtonGravitation2DExample, HarmonicBond2DExample, and WaterMolecule2DExample.

jCodingStuff/manimGL