Installing PyArrow

System Compatibility

PyArrow is regularly built and tested on Windows, macOS and various Linux distributions (including Ubuntu 16.04, Ubuntu 18.04). We strongly recommend using a 64-bit system.

Python Compatibility

PyArrow is currently compatible with Python 3.7, 3.8, 3.9 and 3.10.

Using Conda

Install the latest version of PyArrow from conda-forge using Conda:

conda install -c conda-forge pyarrow

Using Pip

Install the latest version from PyPI (Windows, Linux, and macOS):

pip install pyarrow

If you encounter any importing issues of the pip wheels on Windows, you may need to install the Visual C++ Redistributable for Visual Studio 2015.


On Linux, you will need pip >= 19.0 to detect the prebuilt binary packages.

Installing from source

See Python Development.

Installing Nightly Packages


These packages are not official releases. Use them at your own risk.

PyArrow has nightly wheels and conda packages for testing purposes.

These may be suitable for downstream libraries in their continuous integration setup to maintain compatibility with the upcoming PyArrow features, deprecations and/or feature removals.

Install the development version of PyArrow from arrow-nightlies conda channel:

conda install -c arrow-nightlies pyarrow

Install the development version from an alternative PyPI index:

pip install --extra-index-url \
    --prefer-binary --pre pyarrow