Luminar Neo vs stitching

Luminar Neo has no write-up on Specifiction yet; its figures are above.

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.