SLEAP is compatible with Python versions 3.6 and above, with support for Windows and Linux. Mac OS X works but without GPU support.

To find info on the latest version of SLEAP, check out Releases.

Quick Install

Windows or Linux: (requires Miniconda or Anaconda)

conda create -c sleap -n sleap sleap

Mac or Colab:

pip install sleap

See the sections below for more detailed information.

Conda (Windows/Linux)

Since SLEAP has a number of complex binary dependencies (TensorFlow, Keras, OpenCV), it is recommended to use the Anaconda Python distribution to simplify installation. To make things easier, we provide SLEAP conda packages that come with built-in GPU support (CUDA and CuDNN).



You can also use the Linux instructions below if you are comfortable with the command line.

If you don’t already have Anaconda installed, go to the Anaconda website and follow the installation instructions.

Once Anaconda has been installed, go to start menu and type in Anaconda, which should bring up a menu entry Anaconda Prompt which opens a command line with the base anaconda environment activated. One of the key advantages to using Anaconda Environments is the ability to create separate Python installations (environments) for different projects, mitigating issues of managing complex dependencies. To create a new conda environment for SLEAP related development and use:

(base) C:\>  conda create -y -n sleap -c defaults -c sleap sleap python=3.6 -y

Once the environment is finished installing, it can be activated using the following command:

(base) C:\> conda activate sleap
(sleap) C:\>

Any Python installation commands (conda install or pip install) issued after activating an environment will only affect the active environment. Thus it is important to make sure the environment is active when issuing any commands that deal with Python on the command line.

SLEAP is now installed in the sleap conda environment. With the environment active, you can run the labeling GUI by entering the following command:

(sleap) C:\> sleap-label


If you are a bit more comfortable with the command line and can manage your environment yourself, we recommend using Miniconda.

On Linux you can install it with:

wget -O ~/
bash ~/ -b -p $HOME/miniconda

This will install conda to your home directory. To auto-start it when you open a new terminal so you can do conda commands more easily, run these lines:

eval "$($HOME/miniconda/bin/conda shell.bash hook)"
conda init

Now you’ll be ready to install SLEAP in a new environment called sleap:

conda create -y -n sleap -c sleap sleap

Mac OS X

Currently we don’t have a conda package for Mac OS X, but it is easy to install SLEAP via pip.

First, follow the instructions above to install Anaconda or Miniconda. Then, run these commands to create a compatible environment:

conda create -n sleap python=3.6 -y
conda activate sleap

Next, simply pip install it:

pip install sleap

Pip (Windows/Linux/Mac/Colab)

We strongly recommend installing SLEAP into a conda environment with Python 3.6. If you know what you’re doing and/or are running SLEAP in Colab or another virtual environment, simply run:

pip install sleap

SLEAP is now installed, you can run the labeling GUI:


Installation from source

If you want to install a version of SLEAP which allows you to modify the code, follow these steps to check out the code and create a development environment:

git clone
cd sleap
conda env create -n sleap_dev -f environment.yml
conda activate sleap_dev

That’s it! You can now make changes to the code and they will be reflected automatically when you run any SLEAP commands or scripts that import SLEAP.

To make sure everything’s working, you can run the test suite:

pytest tests

For more advanced users, if you’d like to install a particular branch of SLEAP without needing to edit it, you can use this syntax:

pip install git+

This will install the develop branch.


If you installed via conda, just delete the environment:

conda env remove -n sleap

Installed SLEAP in more than one environment? You can check the list of environments on your system with conda env list.

If you installed via pip:

pip uninstall sleap


Running into installation issues? Open a new GitHub Issue and let us know what you’ve tried so far.