stitching vs Xpano

stitching is a free Python package for making panoramas from image files or images already loaded in a program. It is based on OpenCV’s stitching module and can be used through a command-line interface or from Python scripts. The CLI can process JPG files in a directory, images selected with a wildcard, or explicitly named files; the Python API provides Stitcher and AffineStitcher classes. Stitcher accepts custom settings, and AffineStitcher corresponds to the CLI’s affine option. For troubleshooting, verbose mode saves intermediate results, while supplied utilities and a Jupyter Notebook tutorial help inspect RANSAC matches and blended seam lines. The package can be installed with pip or run from the openstitching/stitch Docker image. In Docker, images are read from a mounted /data directory and the default output is result.jpg in that directory. The project recommends stitching-headless for server and cloud environments. It is Python 3 only and distributed under the Apache License 2.0. PyPI lists version 0.7.0, released September 5, 2026.

Xpano imports a directory of images, finds groups that can be stitched into panoramas, and exports the computed results. Before export, users can preview panoramas, zoom and pan around them, crop, fill boundaries automatically, choose projection types, and adjust pitch, yaw, and roll. The app uses OpenCV and its stitching module for image processing, and exports full-resolution panoramas with EXIF metadata. It also supports automatic command-line processing, with a --gui flag to launch the graphical interface. The maximum panorama size is selectable and defaults to 100 MPx. Xpano is available for Linux, macOS, and Windows, and is distributed under the GPL-3.0-or-later license. The listed Xpano plan is free, with no price or usage limits stated. The project names Tomas Krupka as maintainer and contact. Its release page says build logs can be used to verify the source commit hash and SHA-256 checksum.