High-level Data Reduction Library provides instrument-independent, high-level scientific functions for ESO data reduction pipelines. It aims to concentrate cross-pipeline algorithms in a single place, verify and homogenize algorithms, implement error propagation, and is extensively tested. Pipeline developers and instrument consortia can use HDRL so that bug-fixes and improvements benefit all pipelines that use it.

This package includes the HDRL library (built on top of the ESO Common Pipeline Library, unit tests, and documentation. The library covers functionalities such as: overscan, bias, dark, flat, bad-pixel handling, Strehl, fringing, catalogue operations, efficiency and response computation, refraction and airmass, pattern noise, resampling, limiting magnitude, and barycentric correction.

The spherical_geometry library is a Python package for handling spherical polygons that represent arbitrary regions of the sky.

This package implements a reader for CORSIKA binary output files using NumPy.

SunPy is package for solar physics and is meant to be a free alternative to the SolarSoft data analysis environment.

It includes an interface for searching and downloading data from multiple data providers, data containers for image and time series data, commonly used solar coordinate frames and associated transformations, as well as other functionality needed for solar data analysis.

Python package of utility functions that are useful in analyzing various datasets, in particular, catalogs of particles or galaxies/halos from cosmological simulations.

skyfield computes positions for the stars, planets, and satellites in orbit around the Earth. Its results should agree with the positions generated by the United States Naval Observatory and their Astronomical Almanac to within 0.0005 arcseconds (half a mas or milliarcsecond).

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.

This package provides a Glue plugin for geospatial imagery.

SunPy is package for solar physics and is meant to be a free alternative to the SolarSoft data analysis environment.

It includes an interface for searching and downloading data from multiple data providers, data containers for image and time series data, commonly used solar coordinate frames and associated transformations, as well as other functionality needed for solar data analysis.

SNData provides an access to data releases published by a variety of supernova (SN) surveys. It is designed to support the development of scalable analysis pipelines that translate with minimal effort between and across data sets. A summary of accessible data is provided below. Access to additional surveys is added upon request or as needed for individual research projects undertaken by the developers.

ADARI (Astronomical DAta Reporting Infrastructure) is a system designed for creating graphical reports of astronomical data so that the quality of these products can be assessed. It has been designed from the ground up to be backend-agnostic, meaning the same ADARI code can be sent to a web plotting API, or a code-based plotting API, with no alteration.

This package provides shared libraries to interface Pascal program with standard astronomy libraries:

• libpasgetdss.so: Interface with GetDSS to work with DSS images.

• libpasplan404.so: Interface with Plan404 to compute planets position.

• libpaswcs.so: Interface with libwcs to work with FITS WCS.

• libpasspice.so: To work with NAIF/SPICE kernel.

healpy is a Python package to handle pixelated data on the sphere. It is based on the Hierarchical Equal Area isoLatitude Pixelization (HEALPix) scheme and builds with the HEALPix C++ library.

IRAF is the Image Reduction and Analysis Facility, a general purpose software system for the reduction and analysis of astronomical data. IRAF was written by the NOAO in Tucson, Arizona. This package provides a community successor of the last IRAF release from 2013.

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.

Fitsverify is a computer program that rigorously checks whether a FITS data file conforms to the requirements defined in Version 3.0 of the FITS Standard document.

The concept of the pvextractor package is simple - given a path defined in sky coordinates, and a spectral cube, extract a slice of the cube along that path, and along the spectral axis, producing a position-velocity or position-frequency slice.

Python package for reading and analyzing simulations generated using the Gizmo code, in particular, the FIRE cosmological simulations.

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

Astronify is a Python package for sonifying astronomical data - turning telescope observations into sound.

This package provides a Centre de Données astronomiques de Strasbourg implementation in Java of the Hierarchical Equal Area isoLatitude Pixelization of a sphere tessellation.

LePHARE is a code for estimating galaxy redshifts and physical parameters using template fitting.

Hubble Space Telescope image combination using the drizzle algorithm to combine astronomical images, to model image distortion, to remove cosmic rays, and generally to improve the fidelity of data in the final image.

ndcube is a package for manipulating, inspecting and visualizing multi-dimensional contiguous and non-contiguous coordinate-aware data arrays.

It combines data, uncertainties, units, metadata, masking, and coordinate transformations into classes with unified slicing and generic coordinate transformations and plotting/animation capabilities. It is designed to handle data of any number of dimensions and axis types (e.g. spatial, temporal, spectral, etc.) whose relationship between the array elements and the real world can be described by WCS translations.