The CPL comprises a set of ISO-C libraries that provide a comprehensive, efficient and robust software toolkit to develop astronomical data-reduction tasks (known as recipes). These data-reduction tasks can then be executed manually by a user, or can be triggered in an automated data-reduction framework (known as pipelines) which are used at ESO to monitor the health status of VLT instruments, for quick-look data processing at the observatory, and the creation of data products available from the ESO archive facility.

ASTROALIGN is a python module that will try to align two stellar astronomical images, especially when there is no WCS information available.

TANGOS is a tool to build a database (along the lines of Eagle or MultiDark) for cosmological and zoom simulations.

Features:

• designed to store and manage results from custom analysis code

• provides web and Python interfaces

• science-focussed queries across entire merger trees, without requiring any knowledge of SQL

• manages the process of populating the database with science data, including auto-parallelising custom analysis

• customization with multiple Python modules such as pynbody or yt to process raw simulation data

• suports file-based database SQLite, server-based MySQL and PostgreSQL

This package provides ASDF schemas for validating transform tags. Users should not need to install this directly; instead, install an implementation package such as asdf-astropy.

astroterm is a terminal-based star map written in C. It displays the real-time positions of stars, planets, constellations, and more, all within your terminal - no telescope required!

This package provides a structured, variable-resolution meshes, unstructured meshes, and discrete or sampled data such as particles. Focused on driving physically-meaningful inquiry, it has been applied in domains such as astrophysics, seismology, nuclear engineering, molecular dynamics, and oceanography.

Astropy is a single core package for Astronomy in Python. It contains much of the core functionality and some common tools needed for performing astronomy and astrophysics.

This package provides base classes and command-line tools for implementing calibration pipeline software.

This package provides a comprehensive framework for Massive Black Hole binary population synthesis. The framework includes modules to perform population synthesis using a variety of methodologies from semi-analytic models, to cosmological hydrodynamic simulations, and even observationally-derived galaxy merger catalogs.

PypeIt is a Python package for semi-automated reduction of astronomical spectroscopic data. Its algorithms build on decades-long development of previous data reduction pipelines by the developers.

It is designed to be used by both advanced spectroscopists with prior data reduction expertise and astronomers with no prior experience of data reduction. It is highly configurable and designed to be applied to any standard slit-imaging spectrograph, including long-slit, multi-slit, as well as cross-dispersed echelle spectra.

PyEsoRex is a command line tool which can serve as a drop-in replacement of EsoRex, which can execute both, existing pipeline recipes implemented using the Common Pipeline Library C API, and recipes implemented using the PyCPL Python API.

SEP makes the core algorithms of sextractor available as a library of stand-alone functions and classes. These operate directly on in-memory arrays (no FITS files or configuration files). The code is derived from the Source Extractor code base (written in C) and aims to produce results compatible with Source Extractor whenever possible. SEP consists of a C library with no dependencies outside the standard library, and a Python module that wraps the C library in a Pythonic API. The Python wrapper operates on NumPy arrays with NumPy as its only dependency.

romanisim is a Galsim-based simulator of imaging data from the WFI on the Nancy Grace Roman Space Telescope (pronounced roman-eye-sim, stylized Roman I-Sim). It uses Galsim to render astronomical scenes, WebbPSF to model the point spread function, and CRDS to access the calibration information needed to produce realistic WFI images.

sunraster is an Python library that provides the tools to read in and analyze spectrogram data.

This package provides a range of colormaps designed for scientific use with Matplotlib. It includes perceptually uniform sequential colormaps such as abre, dusk, kepl, and octarine, as well as monochromatic sequential colormaps like blue, green, and red, and others (algae, pastel, and xray).

pixell is a library for loading, manipulating and analyzing maps stored in rectangular pixelization. It is mainly intended for use with maps of the sky (e.g. CMB intensity and polarization maps, stacks of 21 cm intensity maps, binned galaxy positions or shear) in cylindrical projection, but its core functionality is more general.

This package includes a plugin for the Python library ASDF to add support for reading and writing various compression algorithms including: Blosc,LZ4 Frame,Zstandard.

Tempo2 is a pulsar timing package, based on the old FORTRAN TEMPO code to address some shortcomings in that code for high precision pulsar timing. See related paper https://ui.adsabs.harvard.edu/abs/2006MNRAS.369..655H/abstract.

BayesicFitting is a package for model fitting and Bayesian evidence calculation, it is a Python version of the the fitter classes in HCSS. HCSS was the all encompassing software system for the operations and analysis of the ESA satelite Herschel.

This package provides a set of tools for the modelling of magnetic field data. It is a SunPy affiliated package and is built on top of sunpy and astropy.

Sunwait calculates sunrise or sunset times with civil, nautical, astronomical and custom twilights. The sun's position is calculated using time, and position - latitude and longitude should be specified on the command line.

Features:

• calculates sunrise and sunset for given coordinates

• can wait for sunrise/sunset, or return DAY or NIGHT codes

• works with Windows Task Scheduler (or cron)

• supports custom twilight angles

• used to automate domestic lighting with Arduino transmitter and radio controlled sockets

Tempo analyzes pulsar timing data. Pulse times of arrival (TOAs), pulsar model parameters, and coded instructions are read from one or more input files. The TOAs are fitted by a pulse timing model incorporating transformation to the solar-system barycenter, pulsar rotation and spin-down and, where necessary, one of several binary models. Program output includes parameter values and uncertainties, residual pulse arrival times, chi-squared statistics, and the covariance matrix of the model. In prediction mode,ephemerides of pulse phase behavior (in the form of polynomial expansions) are calculated from input timing models.

SOXS is a software suite which can create simulated X-ray observations of astrophysical sources with almost any existing or planned X-ray observatory. The goal of SOXS is to provide a comprehensive set of tools to design source models and convolve them with simulated models of X-ray instruments. This package was originally developed to support the Lynx X-ray Observatory mission concept, but has evolved to support other missions as well.

Provides DataModel, which is the base class for data models implemented in the JWST and Roman calibration software.