Cesium is an end-to-end machine learning platform for time-series, from calculation of features to model-building to predictions. Cesium has two main components - a Python library, and a web application platform that allows interactive exploration of machine learning pipelines. Take control over the workflow in a Python terminal or Jupyter notebook with the Cesium library, or upload your time-series files, select your machine learning model, and watch Cesium do feature extraction and evaluation right in your browser with the web application.

PyEphem provides an ephem Python package for performing high-precision astronomy computations.

The name ephem is short for the word ephemeris, which is the traditional term for a table giving the position of a planet, asteroid, or comet for a series of dates.

Gpredict is a real-time satellite tracking and orbit prediction application. It can track a large number of satellites and display their position and other data in lists, tables, maps, and polar plots (radar view). Gpredict can also predict the time of future passes for a satellite, and provide you with detailed information about each pass.

Some core features of Gpredict include:

• Tracking of a large number of satellites only limited by the physical memory and processing power of the computer

• Display the tracking data in lists, maps, polar plots and any combination of these

• Have many modules open at the same either in a notebook or in their own windows. The modules can also run in full-screen mode

• You can use many ground stations

• Predict upcoming passes

• Gpredict can run in real-time, simulated real-time (fast forward and backward), and manual time control

• Detailed information both the real time and non-real time modes

• Doppler tuning of radios via Hamlib rigctld

• Antenna rotator control via Hamlib rotctld

The package statmorph implements functionality of calculating non-parametric morphological diagnostics of galaxy images (e.g., Gini-M_20 and CAS statistics), as well as fitting 2D Sérsic profiles.

uraniborg is a CLI visualization tool and star chart "engine" for the Augmented Tycho + HYG (AT-HYG) star catalog. The AT-HYG catalog consists of stars from the Tycho-2 star catalog, augmented with additional distance and velocity information from Gaia DR3, as well as the "classic" / historical information from the HYG catalog.

uraniborg lets you view the sky from both the solar system and from any star in the AT-HYG catalog with a known distance (over 2.5 million stars currently).

Base directory containing custom config, data, charts and fonts may be adjusted with command line option -b, by default set to store path.

PyVO is a package providing access to remote data and services of the Virtual observatory (VO) using Python.

CRDS is a package used for working with astronomical reference files for the HST and JWST telescopes. CRDS is useful for performing various operations on reference files or reference file assignment rules. CRDS is used to assign, check, and compare reference files and rules, and also to predict those datasets which should potentially be reprocessed due to changes in reference files or assignment rules. CRDS has versioned rules which define the assignment of references for each type and instrument configuration. CRDS has web sites corresponding to each project http://hst-crds.stsci.edu or https://jwst-crds.stsci.edu/ which record information about reference files and provide related services.

Stuff is a program that simulates "perfect" astronomical catalogues. It generates object lists in ASCII which can read by the SkyMaker program to produce realistic astronomical fields. Stuff is part of the EFIGI development project.

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.

SpacePy is a package for Python, targeted at the space sciences, that aims to make basic data analysis, modeling and visualization easier. It builds on the capabilities of NumPy and MatPlotLib packages.

PyBDSF (the Python Blob Detection and Source Finder) is a tool designed to decompose radio interferometry images into sources and make available their properties for further use. PyBDSF can decompose an image into a set of Gaussians, shapelets, or wavelets as well as calculate spectral indices and polarization properties of sources and measure the psf variation across an image. PyBDSF uses an interactive environment based on CASA that will be familiar to most radio astronomers. Additionally, PyBDSF may also be used in Python scripts.

This package provides a Python library for reading from and writing to FITS files using the CFITSIO library. Among other things, it can

• read and write image, binary, and ascii table extensions;

• read arbitrary subsets of tables in a lazy manner;

• query the rows and columns of a table;

• read and write header keywords;

• read and write Gzip files.

ChiantiPy is the Python interface to the CHIANTI atomic database for astrophysical spectroscopy. It provides the capability to calculate the emission line and continuum spectrum of an optically thin plasma based on the data in the CHIANTI database.

SWIFTGalaxy is an astrophysics module that extends SWIFTSimIO tailored to analyses of particles belonging to individual galaxies simulated with SWIFT. It inherits from and extends the functionality of the SWIFTDataset. It understands the content of halo catalogues (supported: Velociraptor, Caesar, SOAP) and therefore which particles belong to a galaxy or other group of particles, and its integrated properties. The particles occupy a coordinate frame that is enforced to be consistent, such that particles loaded on-the-fly will match e.g. rotations and translations of particles already in memory. Intuitive masking of particle datasets is also enabled. Utilities to make working in cylindrical and spherical coordinate systems more convenient are also provided. Finally, tools to iterate efficiently over multiple galaxies are also provided.

This repository contains programs which can be used to compute properties of halos in spherical apertures in SWIFT snapshots. The resulting output halo catalogues can be read using the swiftsimio Python package.

LibXISF is C++ library that can read and write XISF files produced by PixInsight. It implements XISF 1.0 specification.

Pynbody is an analysis framework for N-body and hydrodynamic astrophysical simulations supporting PKDGRAV/Gasoline, Gadget, Gadget4/Arepo, N-Chilada and RAMSES AMR outputs.

This package provides a Python package to calculate gravitational-wave sensitivity curves for pulsar timing arrays.

Features:

• pulsar transmission functions

• inverse-noise-weighted transmission functions

• individual pulsar sensitivity curves

• pulsar timing array sensitivity curves as characteristic strain, strain sensitivity or energy density

• power-law integrated sensitivity curves

• sensitivity sky maps for pulsar timing arrays

The spectral-cube package provides an easy way to read, manipulate, analyze, and write data cubes with two positional dimensions and one spectral dimension, optionally with Stokes parameters.

It provides the following main features:

• A uniform interface to spectral cubes, robust to the wide range of conventions of axis order, spatial projections, and spectral units that exist in the wild.

• Easy extraction of cube sub-regions using physical coordinates.

• Ability to easily create, combine, and apply masks to datasets.

• Basic summary statistic methods like moments and array aggregates.

• Designed to work with datasets too large to load into memory.

The mpl_animators package provides a set of classes which allow the easy construction of interactive matplotlib widget based animations.

The Advanced Scientific Data Format (ASDF) is a next-generation interchange format for scientific data. This package contains the Python implementation of the ASDF Standard.

This package provides a CIANNA - a general-purpose deep learning framework primarily developed and used for astronomical data analysis.

This package provides a cython-optimized implementations of empirical dust exitinction laws found in the literature.

SExtractor is a program that builds a catalogue of objects from an astronomical image. Although it is particularly oriented towards reduction of large scale galaxy-survey data, it can perform reasonably well on moderately crowded star fields.