Jupyter Notebook tutorials using astronomical databases and virtual observatory tools
Nova DSO Tracker is an open-source Flask application for astrophotographers, providing real-time tracking of deep-sky objects' altitude, observability prediction, and integration with Stellarium and SIMBAD databases.
Create a new bright star catalog out of existing catalogs.
The complete integrated solution for all of your astronomical imaging needs.
An identifier-based astronomical cross-catalogue matcher that resolves stellar identities through SIMBAD, matches known aliases against the NASA Exoplanet Archive, and generates optional plain-language AI summaries.
A school project using Simbad (http://simbad.sourceforge.net/)
A python package for astronomical calculations
Web application to search, process, and visualizes the TESS data of any target cataloged in astronomical databases like SIMBAD.
Starfetch gives AI agents safe, reproducible access to public astronomy catalogs through the Model Context Protocol (MCP).
Web-based astronomical research tool combining multiple scientific sources such as SIMBAD, VizieR, ADS and arXiv with Aladin sky visualization and AI-powered literature analysis for galaxy cluster studies.
Projects for MSc course: Intelligent Systems Programming
TypeScript PixInsight script from Hartmut Bornemann
x64 binaries of CDS' anafile tool
Gathering spectral data from Simbad for a list of stars from a test file, output can be read to LaTex, Excel, etc. Made for summer 2019 research project, which was heavy on data mining (3000+ needed spectra).
CDS SIMBAD — astronomical object database (~14M objects) via TAP/script
Stellar Object Query Tool — queries SIMBAD, AAVSO VSX, VizieR, Gaia DR3, and NEA by star name or coordinates
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