PyAutoLens requires Python 3.8 - 3.11 and support the Linux, MacOS and Windows operating systems.

PyAutoLens can be installed via the Python distribution Anaconda or using Pypi to pip install PyAutoLens into your Python distribution.

We recommend Anaconda as it manages the installation of many major libraries (e.g. numpy, scipy, matplotlib, etc.) making installation more straight forward. Windows users must use Anaconda.

The installation guide for both approaches can be found at:

Users who wish to build PyAutoLens from source (e.g. via a git clone) should follow our building from source installation guide.

Known Issues#

There is a known issue installing PyAutoLens via both conda and pip associated with the libraries llvmlite and numba. If your installation raises an error mentioning either library, follow the instructions in our troubleshooting section.


PyAutoLens has the following dependencies:

PyAutoConf https://github.com/rhayes777/PyAutoConf

PyAutoFit https://github.com/rhayes777/PyAutoFit

PyAutoArray https://github.com/Jammy2211/PyAutoArray

PyAutoGalaxy https://github.com/Jammy2211/PyAutoGalaxy

dynesty https://github.com/joshspeagle/dynesty

emcee https://github.com/dfm/emcee

PySwarms https://github.com/ljvmiranda921/pyswarms

colossus: https://bdiemer.bitbucket.io/colossus/

astropy https://www.astropy.org/

corner.py https://github.com/dfm/corner.py

matplotlib https://matplotlib.org/

numba https://github.com/numba/numba

numpy https://numpy.org/

scipy https://www.scipy.org/

scikit-image: https://github.com/scikit-image/scikit-image

scikit-learn: https://github.com/scikit-learn/scikit-learn

And the following optional dependencies:

pynufft: https://github.com/jyhmiinlin/pynufft

PyLops: https://github.com/PyLops/pylops