synax simulates Galactic synchrotron emission, covering both total and polarized intensity. It leverages the power of JAX (ascl:2111.002), and provides automatic differentiation (AD) and multi-platform support (CPU, GPU, TPU), among other features. By providing gradient access, synax integrates smoothly into the JAX ecosystem, enabling the use of efficient inference algorithms, including Hamiltonian Monte Carlo (HMC) and ADAM optimization.

XGPaint, written in Julia, generates maps of extragalactic foregrounds, using astrophysical models designed to replicate the statistics of the millimeter sky. The code computes simulated galaxies from the Cosmic Infrared Background (CIB), radio galaxies, and contributions and distortions from the Sunyaev-Zeldovich (SZ) effect. XGPaint is multithreaded, and supports both HEALPix and Plate Carrée pixelizations.

WignerFamilies generates families of Wigner 3j and 6j symbols by recurrence relation. These exact methods are orders of magnitude more efficient than strategies such as prime factorization for problems which require every non-trivial symbol in a family, and are very useful for large quantum numbers. WignerFamilies is thread-safe and very fast, beating the standard Fortran routine DRC3JJ from SLATEC by a factor of 2-4.

mnms (Map-based Noise ModelS) creates map-based models of Simons Observatory Atacama Cosmology Telescope (ACT) data. Each model supports drawing map-based simulations from data splits with independent realizations of the noise or equivalent, similar to an independent set of time-domain sims. In addition to the ability to create on-the-fly simulations, mnms also includes ready-made scripts for writing a large batch of products to disk in a dedicated SLURM job.

Healpix.jl is a Julia-only port of the C/C++/Fortran/Python HEALPix library (ascl:1107.018), which implements a hierarchical pixelization of the sphere in equal-area pixels. Much like the original library, Healpix.jl supports two enumeration schemes for the pixels (RING and NESTED) and implements an optimized computation of the generalized Fourier transform using spherical harmonics, binding libsharp2 (ascl:1402.033). In addition, Healpix.jl provides four additional features: 1.) it fully supports Windows systems, alongside the usual Linux and MAC OS X machines; 2.) it uses Julia's strong typesystem to prevent several bugs related to mismatches in map ordering (e.g., combining a RING map with a NESTED map); 3.) it uses a versatile memory layout so that map bytes can be stored in shared memory objects or on GPUs; and 4.) it implements an elegant and general way to signal missing values in maps.