Open Source Python Astronomy Software for Linux
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Python Astronomy Software for Linux
View 270 business solutionsBrowse free open source Python Astronomy Software for Linux and projects below. Use the toggles on the left to filter open source Python Astronomy Software for Linux by OS, license, language, programming language, and project status.
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L.E.I.C.A. (Long Exposure Internet CAmera) is an application that takes input from your webcam, or v4l2 device, and makes a long-exposure image. Until now there's only a python binding for this app, soon there will be a C/C++ SDL one
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PythonStarSplitter
A Python Script I made to split a starfield image into several layers.
A Python Script I made to split a starfield image into several layers. To be able to use the script, PixInsight with an installed Gaia data catalogue is required, as it needs the exported astrometry data text file. -
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This project is an initial reference implementation of the VSI-E protocol. The implementation has been done using the C/C++ language and is in the form of a re-useable library developed on the Linux platform.
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lxnstack
A program to align and stack astronomical images.
Lxnstack is a program designed to align and stack astronomical images (both planetary and deep-sky). The features of latest version are: * Several stacking methods (average, median, sigma-clipping, ...) * Two automatic align method: align-points; phase correlation, * One manual align method. * sub-pixel precision (0.1 pixel for phase correlation and 0.01 pixel for manual alignment). * Automatic image derotation. * FITS file support (by installing the python2 package 'astropy') * Hot pixels suppression algorithm * CR2 files native support * Can load/save video * Grayscale RAW image support * Editing of result image's levels. * Light curve generation -
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openSkyMatch
Matches OpenScience Observatories images with astronomical catalogs
openSkyMatch is a collection of Linux shell and Python scripts designed for the OpenScience Observatories program. It automates the identification and matching of detected celestial objects in locally captured FITS images with entries in large-scale sky catalogs, notably Pan-STARRS1 DR2 (II/389/ps1_dr2). The toolkit supports data preprocessing, coordinate correlation, and catalog-based validation of astronomical detections. All tools are open-source and optimized for reproducibility and transparency in citizen science astronomy.
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