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 ``paltas`` is a package for conducting simulation-based inference on strong gravitational lensing images. The package builds on ``lenstronomy`` to create large datasets of strong lensing images with realistic low-mass halos, Hubble Space Telescope (HST) observational effects, and galaxy light from HST's COSMOS field. ``paltas`` also includes the capability to easily train neural posterior estimators of the parameters of the lensing system and to run hierarchical inference on test populations.