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Installing Kivy

Installation for Kivy version 2.1.0. Read the changelog here. For other Kivy versions, select the documentation from the dropdown on the top left.

Kivy 2.1.0 officially supports Python versions 3.7 - 3.10.










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Using pip

The easiest way to install Kivy is with pip, which installs Kivy using either a pre-compiled wheel, if available, otherwise from source (see below).

Kivy provides pre-compiled wheels for the supported Python versions on Windows, macOS, Linux, and RPi. Alternatively, installing from source is required for newer Python versions not listed above or if the wheels do not work or fail to run properly.

Setup terminal and pip

Before Kivy can be installed, Python and pip needs to be pre-installed. Then, start a new terminal that has Python available. In the terminal, update pip and other installation dependencies so you have the latest version as follows (for linux users you may have to substitute python3 instead of python and also add a --user flag in the subsequent commands outside the virtual environment):

python -m pip install --upgrade pip setuptools virtualenv

Create virtual environment

Create a new virtual environment for your Kivy project. A virtual environment will prevent possible installation conflicts with other Python versions and packages. It’s optional but strongly recommended:

  1. Create the virtual environment named kivy_venv in your current directory:

    python -m virtualenv kivy_venv
  2. Activate the virtual environment. You will have to do this step from the current directory every time you start a new terminal. This sets up the environment so the new kivy_venv Python is used.

    For Windows default CMD, in the command line do:


    If you are in a bash terminal on Windows, instead do:

    source kivy_venv/Scripts/activate

    If you are in linux or macOS, instead do:

    source kivy_venv/bin/activate

Your terminal should now preface the path with something like (kivy_venv), indicating that the kivy_venv environment is active. If it doesn’t say that, the virtual environment is not active and the following won’t work.

Install Kivy

Finally, install Kivy using one of the following options:

Pre-compiled wheels

The simplest is to install the current stable version of kivy and optionally kivy_examples from the kivy-team provided PyPi wheels. Simply do:

python -m pip install "kivy[base]" kivy_examples

This also installs the minimum dependencies of Kivy. To additionally install Kivy with audio/video support, install either kivy[base,media] or kivy[full]. See Kivy’s dependencies for the list of selectors.

For the Raspberry Pi, you must additionally install the dependencies listed in source dependencies before installing Kivy above.

From source

If a wheel is not available or is not working, Kivy can be installed from source with some additional steps. Installing from source means that Kivy will be installed from source code and compiled directly on your system.

First install the additional system dependencies listed for each platform: Windows, macOS, Linux, RPi.

With the dependencies installed, you can now install Kivy into the virtual environment.

To install the stable version of Kivy, from the terminal do:

python -m pip install "kivy[base]" kivy_examples --no-binary kivy

To install the latest cutting-edge Kivy from master, instead do:

python -m pip install "kivy[base] @"

If you want to install Kivy from a different branch, from your forked repository, or from a specific commit (e.g. to test a fix from a user’s PR) replace the corresponding components of the url.

For example to install from the stable branch, the url becomes Or to try a specific commit hash, use e.g.

Pre-release, pre-compiled wheels

To install a pre-compiled wheel of the last pre-release version of Kivy, instead of the current stable version, add the --pre flag to pip:

python -m pip install --pre "kivy[base]" kivy_examples

This will only install a development version of Kivy if one was released to PyPi. Instead, one can also install the latest cutting-edge Nightly wheels from the Kivy server with:

python -m pip install kivy --pre --no-deps --index-url
python -m pip install "kivy[base]" --pre --extra-index-url

It is done in two steps, because otherwise pip may ignore the wheels on the server and install an older pre-release version from PyPi.

For the Raspberry Pi, remember to additionally install the dependencies listed in source dependencies before installing Kivy above.

Development install

If you want to edit Kivy before installing it, or if you want to try fixing some Kivy issue and submit a pull request with the fix, you will need to first download the Kivy source code. The following steps assumes git is pre-installed and available in the terminal.

The typical process is to clone Kivy locally with:

git clone git://

This creates a kivy named folder in your current path. Next, install the additional system dependencies listed for each OS: Windows, macOS, Linux, RPi.

Then change to the kivy directory and install Kivy as an editable install:

cd kivy
python -m pip install -e ".[dev,full]"

Now, you can use git to change branches, edit the code and submit a PR. Remember to compile Kivy each time you change cython files as follows:

python build_ext --inplace

Or if using bash or on Linux, simply do:


to recompile.

To run the test suite, simply run:

pytest kivy/tests

or in bash or Linux:

make test

Checking the demo

Kivy should now be installed. You should be able to import kivy in Python or, if you installed the Kivy examples, run the demo.

on Windows:

python kivy_venv\share\kivy-examples\demo\showcase\

or in bash, Linux and macOS:

python kivy_venv/share/kivy-examples/demo/showcase/

The exact path to the Kivy examples directory is also stored in kivy.kivy_examples_dir.

The 3d monkey demo under kivy-examples/3Drendering/ is also fun to see.

Installation using Conda

If you use Anaconda, you can install Kivy with its package manager Conda using:

conda install kivy -c conda-forge

Do not use pip to install kivy if you’re using Anaconda, unless you’re installing from source.

Installing Kivy’s dependencies

Kivy supports one or more backends for its core providers. E.g. it supports glew, angle, and sdl2 for the graphics backend on Windows. For each category (window, graphics, video, audio, etc.), at least one backend must be installed to be able to use the category.

To facilitate easy installation, we provide extras_require groups that will install selected backends to ensure a working Kivy installation. So one can install Kivy more simply with e.g.``pip install “kivy[base,media,tuio]”``. The full list of selectors and the packages they install is listed in The exact packages in each selector may change in the future, but the overall goal of each selector will remain as described below.

We offer the following selectors:

base: The minimum typical dependencies required for Kivy to run,

not including video/audio.

media: Only the video/audio dependencies required for Kivy to

be able to play media.

full: All the typical dependencies required for Kivy to run, including video/audio and

most optional dependencies.

dev: All the additional dependencies required to run Kivy in development mode

(i.e. it doesn’t include the base/media/full dependencies). E.g. any headers required for compilation, and all dependencies required to run the tests and creating the docs.

tuio: The dependencies required to make TUIO work (primarily oscpy).

The following selectors install backends packaged as wheels by kivy under the Kivy_deps namespace. They are typically released and versioned to match specific Kivy versions, so we provide selectors to facilitate installation (i.e. instead of having to do pip install kivy kivy_deps.sdl2==x.y.z, you can now do pip install "kivy[sdl2]" to automatically install the correct sdl2 for the Kivy version).

gstreamer: The gstreamer video/audio backend, if it’s available

(currently only on Windows)

angle: A alternate OpenGL backend, if it’s available

(currently only on Windows)

sdl2: The window/image/audio backend, if it’s available (currently only on Windows,

on macOS and Linux it is already included in the main Kivy wheel).

glew: A alternate OpenGL backend, if it’s available (currently only on Windows)

Following are the kivy_deps dependency wheels:

  • gstreamer (optional)

    kivy_deps.gstreamer is an optional dependency which is only needed for audio/video support. We only provide it on Windows, for other platforms it must be installed independently. Alternatively, use ffpyplayer instead.

  • glew and/or angle

    kivy_deps.glew and kivy_deps.angle are for OpenGL. You can install both, that is no problem. It is only available on Windows. On other platforms it is not required externally.

    One can select which of these to use for OpenGL using the KIVY_GL_BACKEND environment variable: By setting it to glew (the default), angle_sdl2, or sdl2. Here, angle_sdl2 is a substitute for glew but requires kivy_deps.sdl2 be installed as well.

  • sdl2

    kivy_deps.sdl2 is for window/images/audio and optionally OpenGL. It is only available on Windows and is included in the main Kivy wheel for other platforms.

Python glossary

Here we explain how to install Python packages, how to use the command line and what wheels are.

Installing Python

Kivy is written in Python and as such, to use Kivy, you need an existing installation of Python. Multiple versions of Python can be installed side by side, but Kivy needs to be installed as package under each Python version that you want to use Kivy in.

To install Python, see the instructions for each platform: Windows, macOS, Linux, RPi.

Once Python is installed, open the console and make sure Python is available by typing python --version.

How to use the command line

To execute any of the pip or wheel commands given here, you need a command line (here also called console, terminal, shell or bash, where the last two refer to Linux style command lines) and Python must be on the PATH.

The default command line on Windows is the command prompt, short cmd. The quickest way to open it is to press Win+R on your keyboard. In the window that opens, type cmd and then press enter.

Alternative Linux style command lines on Windows that we recommend are Git for Windows or Mysys.

Note, the default Windows command line can still be used, even if a bash terminal is installed.

To temporarily add your Python installation to the PATH, simply open your command line and then use the cd command to change the current directory to where python is installed, e.g. cd C:\Python37.

If you have installed Python using the default options, then the path to Python will already be permanently on your PATH variable. There is an option in the installer which lets you do that, and it is enabled by default.

If however Python is not on your PATH, follow the these instructions to add it:

What is pip and what are wheels

In Python, packages such as Kivy can be installed with the python package manager, named pip (“python install package”).

When installing from source, some packages, such as Kivy, require additional steps, like compilation.

Contrary, wheels (files with a .whl extension) are pre-built distributions of a package that has already been compiled. These wheels do not require additional steps when installing them.

When a wheel is available on (“Python Package Index”) it can be installed with pip. For example when you execute python -m pip install kivy in a command line, this will automatically find the appropriate wheel on PyPI.

When downloading and installing a wheel directly, use the command python -m pip install <wheel_file_name>, for example:

python -m pip install C:\

What are nightly wheels

Every day we create a snapshot wheel of the current development version of Kivy (‘nightly wheel’). You can find the development version in the master branch of the Kivy Github repository.

As opposed to the last stable release (which we discussed in the previous section), nightly wheels contain all the latest changes to Kivy, including experimental fixes. For installation instructions, see Pre-release, pre-compiled wheels.


Using the latest development version can be risky and you might encounter issues during development. If you encounter any bugs, please report them.