Computational Astrophysics: Software & Datasets

Analysis framework for the Sloan Digital Sky Survey (SDSS-V) Milky Way Mapper.

Maps any astronomical image to sky coordinates (WCS) with no false positives, even without metadata, enabling real-time use across archives.

CAMELS host more than 2 petabytes of data from 16,960 cosmological simulations.

Access theory friendly catalogs and theoretical mock catalogs for the Cosmic Assembly Near-infrared Deep Extragalactic Survey (CANDELS).

Enables fast 1D Gaussian Process regression with C++, Python, and Julia, using C++ for speed and Python for features.

A Python package for creating publication-quality probabilistic graphical models with an intuitive syntax, exportable in formats like PDF, PNG, EPS, and SVG.

A Python-based framework for solving and manipulating partial differential equations using sparse spectral methods.

A Python implementation of an affine-invariant MCMC ensemble sampler for efficient Bayesian parameter estimation.

An open-source coordinate-agnostic particle-in-cell (PIC) code written in C++20 specifically targeted to study plasma physics in relativistic astrophysical systems.

The EXP C++ library is an efficient N-body simulation toolkit that implements basis-function methods using hybrid CPU and GPU code alongside Python bindings.

An Astropy-affiliated Python package for Galactic Dynamics, offering fast, user-friendly tools for orbit integration, gravitational modeling, coordinate transformations, and nonlinear dynamics analysis.

A Python library for fast Gaussian Process regression using hierarchical low-rank approximations for scalable, efficient computation.

A functional-programming-forward implementation of many features from the exoplanet and starry packages built on top of JAX.

A package for computing stellar spectra from 1D model atmospheres and linelists assuming local thermodynamic equilibrium.

Modules for Experiments in Stellar Astrophysics (MESA), originally developed over a decade by Bill Paxton with broad astrophysics community involvement, is now maintained by a global team and …

Detects exoplanet transits using linear models and Gaussian processes while modeling correlated stellar noise with JAX-based tinygp.

Pasta (Platform Agnostic Simulation Tools for Astrophysics) is a task-based, Kokkos-portable(radiation-)magnetohydrodynamics code.

A Python package for interacting and working with data from the Gaia Mission.

A Python package for Bayesian analysis of black hole ringdowns in gravitational-wave data, using HMC, NumPyro, and JAX to probe merger remnants.

A JAX-based implementation of robust heteroskedastic matrix factorization.

Provides physically motivated predictions for the properties and demographics of galaxies and quasars forming across cosmic time.

Python/JAX extension for Gaussian Processes using state space models for faster O(n)–O(log n) performance with GPU and parallel acceleration.

Spectracles is a Python library for inferring properties of integral field unit spectra as continuous functions of sky position. Build on JAX, spectracles can be used to simultaneously …

Computes fast, precise astronomical light curves for exoplanets, eclipsing binaries, and other transit and occultation phenomena.

Presents a self-consistent comparison of 22 different methods tested on the same extreme-precision spectroscopic data from the Extreme-precision Spectrograph (EXPRES).

An analysis of Sun-as-a-star observations from four different high-resolution, stabilized spectrographs: HARPS, HARPS-N, EXPRES, and NEID.

A custom Monte Carlo sampler for the two-body problem.

Python package for time-series spectroscopy that derives radial velocities in a data-driven way without prior stellar or telluric models.