Overview#
PyAutoLens requires Python 3.8+ 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.
Dependencies#
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