PDF Junction vs. VBScript vs. scikit-image vs. test_coverage Comparison Chart

At the heart of PDF Junction is a document processing engine capable of manipulating large volumes of PDF files to enable splitting, merging, setting of security, and other attributes. Convert batches of Word, Excel, and other files to PDF. Split PDFs by bookmarks, single pages, and ranges. Set PDF security and display options. Extract text and metadata from PDF documents. The Professional version of PDF Junction includes facilities to convert Microsoft Office and other documents to PDF. Batch processes can be defined using the GUI to create an XML Job Ticket file which can be run using the GUI, or using the command line. In addition, all options can be used from the command line without having used the GUI. The functionality of PDF Junction can be extended by using custom scripts which may be called at various points during the processing of a particular job. The custom scripts are Windows Script Files which allow scripting in either VBScript or Jscript.

scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. scikit-image provides a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome! scikit-image aims to be the reference library for scientific image analysis in Python. We accomplish this by being easy to use and install. We are careful in taking on new dependencies, and sometimes cull existing ones, or make them optional. All functions in our API have thorough docstrings clarifying expected inputs and outputs. Conceptually identical arguments have the same name and position in a function signature. Test coverage is close to 100% and code is reviewed by at least two core developers before being included in the library.