Install | StatsForecast

Install StatsForecast with pip or conda

You can install the released version of StatsForecast from the Python package index with:

pip install statsforecast

or

conda install -c conda-forge statsforecast

Warning

We are constantly updating StatsForecast, so we suggest fixing the version to avoid issues. pip install statsforecast=="1.0.0"

Tip

We recommend installing your libraries inside a python virtual or conda environment.

Extras

The following features can also be installed by specifying the extra inside the install command, e.g. pip install 'statsforecast[extra1,extra2]'

• polars: provide polars dataframes to StatsForecast.
• plotly: use StatsForecast.plot with the plotly backend.
• dask: perform distributed forecasting with dask.
• spark: perform distributed forecasting with spark.
• ray: perform distributed forecasting with ray.

Development version

If you want to try out a new feature that hasn’t made it into a release yet you have the following options:

• Install from our nightly wheels: pip install --extra-index-url=http://nixtla-packages.s3-website.us-east-2.amazonaws.com --trusted-host nixtla-packages.s3-website.us-east-2.amazonaws.com statsforecast
• Install from github: pip install git+https://github.com/Nixtla/statsforecast. This requires that you have a C++ compiler installed, so we encourage you to try the previous option first.