eht-imaging: tools for imaging and simulating VLBI data

Python modules for simulating and manipulating VLBI data and producing images with regularized maximum likelihood methods. This version is an early release so please submit a pull request or email achael@cfa.harvard.edu if you have trouble or need help for your application.

The package contains several primary classes for loading, simulating, and manipulating VLBI data. The main classes are the ``Image``, ``Array``, ``Obsdata``. ``Movie`` and ``Vex`` provide tools for producing time-variable simulated data and observing with real VLBI tracks from .vex files. ``imager`` is a generic Stokes I imaging module that can produce images from data sets using various data terms and regularizers.