## Getting started
This document describes some of the basics of installing and running the Jupyter Kernel Gateway.
### Using pip
We make stable releases of the kernel gateway to PyPI. You can use pip to install the latest version along with its dependencies.
# install from pypi
pip install jupyter_kernel_gateway
Once installed, you can use the jupyter CLI to run the server.
# run it with default options
### Using conda
You can install the kernel gateway using conda as well.
conda install -c conda-forge jupyter_kernel_gateway
Once installed, you can use the jupyter CLI to run the server as shown above.
### Using a docker-stacks image
You can add the kernel gateway to any [docker-stacks](https://github.com/jupyter/docker-stacks) image by writing a Dockerfile patterned after the following example:
# install the kernel gateway RUN pip install jupyter_kernel_gateway
You can then build and run it.
docker build -t my/kernel-gateway .
docker run -it --rm -p 8888:8888 my/kernel-gateway