{"name": "HELIX Labelling Framework", "package_name": "helix_labelling_framework", "description": "Prepare robust vector and raster label workflows on a common reference grid, from class schemes and temporal alignment to context features, soft targets, uncertainty and QA reports.", "about": "HELIX Labelling Framework is a modular QGIS Processing toolbox for preparing heterogeneous vector and raster label sources as grid-aligned, time-aware, context-aware and uncertainty-aware supervision products. Documentation and a small synthetic test dataset are included in the docs folder and in the public repository README. Dependencies are QGIS/PyQGIS with GDAL and NumPy as provided by standard QGIS installations. The plugin is written in Python using the QGIS PyQt compatibility layer and is intended for Windows, Linux and macOS. Copyright (C) 2026 Sarah Hauser, Karlsruhe Institute of Technology (KIT).", "homepage": "https://github.com/sahouse/helix-labelling-framework#readme", "repository": "https://github.com/sahouse/helix-labelling-framework", "tracker": "https://github.com/sahouse/helix-labelling-framework/issues", "author": "Sarah Hauser (Karlsruhe Institute of Technology, KIT)", "tags": ["vector", "raster", "geospatial", "processing", "labels", "spatiotemporal", "uncertainty", "helix", "label preprocessor", "labelling", "soft targets"], "downloads": 90, "latest_version": "1.0.1", "versions": [{"version": "1.0.1", "experimental": false, "qgis_min": "3.34.0", "qgis_max": "4.99.0", "downloads": 23, "uploaded_by": "sahouse", "upload_datetime": "2026-06-26T07:39:28.752477"}, {"version": "1.0.0", "experimental": false, "qgis_min": "3.34.0", "qgis_max": "4.99.0", "downloads": 67, "uploaded_by": "sahouse", "upload_datetime": "2026-06-03T08:20:48.254820"}]}