{"name": "ArchaeoAstroInsight", "package_name": "ArchaeoAstroInsight", "description": "Detects archaeological features in satellite and aerial imagery and computes their archaeoastronomical alignment by using AI algorithms.", "about": "ArchaeoAstroInsight is a QGIS plugin for the archaeoastronomical analysis of ground-level archaeological features. It detects features in satellite or aerial rasters using a YOLO model, estimates each feature's orientation (azimuth) with a ResNet classifier (or reads it directly from user-drawn lines), derives the local horizon from the HeyWhatsThat online service, user-provided SRTM elevation data and/or LiDAR point clouds, and computes the astronomical declination of each alignment. It also generates azimuth and declination curvigrams (kernel-density plots with significance thresholds) and writes all results to a single CSV for further analysis. It requires external Python packages (PyTorch, TensorFlow, Ultralytics and others) that are not bundled with the plugin; download the installer scripts and follow the installation instructions in the repository README (https://github.com/geo-andrei/ArchaeoAstroInsight). Data to reproduce the experiments is available as a Kaggle notebook: https://www.kaggle.com/code/marcfrincu/al-hayit-analysis", "homepage": "https://github.com/geo-andrei/ArchaeoAstroInsight", "repository": "https://github.com/geo-andrei/ArchaeoAstroInsight", "tracker": "https://github.com/geo-andrei/ArchaeoAstroInsight/issues", "author": "Andrei Ancuta, Helga Hochbauer, Maitane Urrutia, Marc Frincu", "tags": ["python", "archaeoastronomy"], "downloads": 431, "latest_version": "0.3.1", "versions": [{"version": "0.3.1", "experimental": false, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 100, "uploaded_by": "geo-andrei", "upload_datetime": "2026-10-28T06:30:14.291469"}, {"version": "0.2", "experimental": false, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 330, "uploaded_by": "geo-andrei", "upload_datetime": "2026-07-14T17:15:51.683519"}]}