Code for Anisotropies in the Microwave Background

Multi-purpose lens modeling software package

PyAutoLens: Open Source Strong Gravitational Lensing

A gravitational lensing simulator for the machine learning era.

Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/abs/1909.02005.

A pipeline for versatile strong lens sample simulations

A Galaxy-Galaxy Lensing Python Package

Planck 2018 lensing pipeline

Standard for strong gravitational lensing analyses

JAX port of lenstronomy, for parallelized, GPU accelerated, and differentiable gravitational lensing and image simulations.

Gradient Informed, GPU Accelerated Lens modelling (GIGALens) -- a package for fast Bayesian inference on strong gravitational lenses.

The fastest gravitational (quasar) microlensing code on the planet. A parallel Barnes-Hut tree code optimized for GPUs, written in OpenCL

Analysis pipeline capable of searching for dark compact objects in the Milky Way through astrometric lensing in real or mock Gaia DR4 data.

From Shear to Map: A Python-based approach to constructing mass maps from lensing measurements.

An interactive simulation of gravitational lensing effects using WebGL

Code for making lensed CMB maps

An interactive-slider-demo for a simple gravitational lens.

Modeling and inversion of gravitational lenses through a Python interface

SNTD is a Python package dedicated to measuring time delays for strongly lensed and multiply-imaged SN. The package can simulate lensed SN, fit for each SN time delay, and propagate the results all the way through to cosmological constraints.

forward reconstruction of lenses and sources from strong lensing observations