Depending on your use case, different installation options are recommended: if you just want to play around with Manim for a bit, interactive in-browser notebooks are a really simple way of exploring the library as they require no local installation. Head over to https://try.manim.community to give our interactive tutorial a try.
Otherwise, if you intend to use Manim to work on an animation project, we recommend installing the library locally (either to a conda environment, your system’s Python, or via Docker).
Note that there are several different versions of Manim. The instructions on this website are only for the community edition. Find out more about the differences between Manim versions if you are unsure which version you should install.
Installing Manim in conda#
Conda is a package manager for Python that allows creating environments
where all your dependencies are stored. Like this, you don’t clutter up your PC with
unwanted libraries and you can just delete the environment when you don’t need it anymore.
It is a good way to install manim since all dependencies like
pycairo, etc. come with it.
Also, the installation steps are the same, no matter if you are
on Windows, Linux, Intel Macs or on Apple Silicon.
The following pages show how to install Manim in a conda environment:
Installing Manim locally#
Manim is a Python library, and it can be installed via pip. However, in order for Manim to work properly, some additional system dependencies need to be installed first. The following pages have operating system specific instructions for you to follow.
Manim requires Python version
3.7 or above to run.
Depending on your particular setup, the installation process might be slightly different. Make sure that you have tried to follow the steps on the following pages carefully, but in case you hit a wall we are happy to help: either join our Discord, or start a new Discussion directly on GitHub.
Once Manim is installed locally, you can proceed to our quickstart guide which walks you through rendering a first simple scene.
As mentioned above, do not worry if there are errors or other problems: consult our FAQ section for help (including instructions for how to ask Manim’s community for help).
Using Manim via Docker#
Docker is a virtualization tool that allows the distribution of encapsulated software environments (containers).
The following pages contain more information about the docker image
maintained by the community,
Interactive Jupyter notebooks for your browser#
Manim ships with a built-in
%%manim IPython magic command
designed for the use within Jupyter notebooks.
Our interactive tutorial over at https://try.manim.community illustrates
how Manim can be used from within a Jupyter notebook.
The following pages explain how you can setup interactive environments like that yourself:
If you’re using Visual Studio Code you can install an extension called Manim Sideview which provides automated rendering and an integrated preview of the animation inside the editor. The extension can be installed through the marketplace of VS Code.
Installation for developers#
In order to change code in the library, it is recommended to install Manim in a different way. Please follow the instructions in our contribution guide if you are interested in that.