{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/6"}],"enrichment":{"capability":"Reproject astronomical images between different world coordinate systems and pixel grids using interpolation, adaptive anti-aliasing, or exact pixel overlap methods, with support for HEALPIX projections.","skillfed_tags":["astronomy","image-processing","coordinate-systems"],"use_cases":["Align multiple astronomical survey images to a common pixel grid and coordinate system before stacking or analysis.","Convert celestial observations between different projections (e.g., tangent-plane to HEALPIX) for survey-wide processing.","Resample high-resolution imaging data to match lower-resolution reference frames while preserving flux.","Prepare multi-wavelength observations from different telescopes for joint analysis by harmonizing their coordinate systems.","Generate footprint maps showing valid data coverage after reprojection to a target coordinate frame."],"what_it_does":"Reproject is a Python package for re-gridding astronomical images from one world coordinate system to another\u2014changing pixel resolution, orientation, or coordinate frame. It implements three distinct reprojection techniques: simple interpolation (similar to SWARP), the adaptive anti-aliased algorithm from DeForest (2004), and exact pixel overlap calculation on the celestial sphere (similar to Montage). It also supports reprojection to and from HEALPIX projections via astropy-healpix.\n\nThe package depends on a substantial stack of scientific Python libraries (numpy, scipy, astropy, astropy-healpix) and integrates with dask, dask-image, zarr, and fsspec for handling larger datasets. It is actively maintained, requires Python 3.11 or later, and is distributed under a permissive BSD 3-Clause license. Installation involves pre-built wheels for standard platforms, though the compiled dependencies add moderate friction.","worth_installing":"Yes, if you work with astronomical images and need to align them across different coordinate systems or resolutions. The package offers a well-maintained, permissive-licensed solution with multiple reprojection algorithms and HEALPIX support. Medium install friction is acceptable for scientific workflows. No known security vulnerabilities."},"id":"reproject","links":{"html":"https://skillfed.io/packages/reproject","md":"https://skillfed.io/packages/reproject.md","pypi":"https://pypi.org/project/reproject/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-25","license_spdx":null,"license_treatment":"permissive","name":"reproject","python_support":"supports_current","summary":"Reproject astronomical images"},"popularity":{"monthly_downloads":162194,"position":10613,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.21.0"}