--- layout: docs docid: "installation" title: "Installation" permalink: /docs/installation.html subsections: - id: r title: Using R - id: python title: Using Python --- Prophet has two implementations: [R](#installation-in-r) and [Python](#installation-in-python). Note the slight name difference for the Python package. ## Installation in R Prophet is a [CRAN package](https://cran.r-project.org/package=prophet) so you can use `install.packages`: ``` # R > install.packages('prophet') ``` After installation, you can [get started!](quick_start.html#r-api) ### Windows On Windows, R requires a compiler so you'll need to [follow the instructions](https://github.com/stan-dev/rstan/wiki/Installing-RStan-on-Windows) provided by `rstan`. The key step is installing [Rtools](http://cran.r-project.org/bin/windows/Rtools/) before attempting to install the package. If you have custom Stan compiler settings, install from source rather than the CRAN binary. ## Installation in Python Prophet is on PyPI, so you can use pip to install it: ``` # bash $ pip install fbprophet ``` The major dependency that Prophet has is `pystan`. PyStan has its own [installation instructions](http://pystan.readthedocs.io/en/latest/installation_beginner.html). Install pystan with pip before using pip to install fbprophet. After installation, you can [get started!](quick_start.html#python-api) ### Windows On Windows, PyStan requires a compiler so you'll need to [follow the instructions](http://pystan.readthedocs.io/en/latest/windows.html). The key step is installing a recent [C++ compiler](http://landinghub.visualstudio.com/visual-cpp-build-tools). ### Linux Make sure compilers (gcc, g++, build-essential) and Python development tools (python-dev, python3-dev) are installed. In Red Hat systems, install the packages gcc64 and gcc64-c++. If you are using a VM, be aware that you will need at least 4GB of memory to install fbprophet, and at least 2GB of memory to use fbprophet. ### Anaconda Use `conda install gcc` to set up gcc. The easiest way to install Prophet is through conda-forge: `conda install -c conda-forge fbprophet`.