Coverage.py vs. Python vs. pdfChip vs. pdfmake Comparison Chart

Coverage.py is a tool for measuring code coverage of Python programs. It monitors your program, noting which parts of the code have been executed, then analyzes the source to identify code that could have been executed but was not. Coverage measurement is typically used to gauge the effectiveness of tests. It can show which parts of your code are being exercised by tests, and which are not. Use coverage run to run your test suite and gather data. However you normally run your test suite, and you can run your test runner under coverage. If your test runner command starts with “python”, just replace the initial “python” with “coverage run”. To limit coverage measurement to code in the current directory, and also find files that weren’t executed at all, add the source argument to your coverage command line. By default, it will measure line (statement) coverage. It can also measure branch coverage. It can tell you what tests ran which lines.

pdfChip is a command-line application for the creation of high-quality PDFs from HTML (taking full advantage of CSS and JavaScript). It supports all HTML features but extends to support CMYK, spot color, XMP metadata, PDF standards, SVG, MathML, barcodes, and more. Capable of generating single and multi-page PDF documents it is ideally suited for high-volume dynamic PDF generation. pdfChip is a command-line application for the creation of high-quality PDFs from HTML, taking full advantage of CSS and JavaScript. pdfChip is based on WebKit technology, it renders your designs quickly and flawlessly into PDF. It allows to creation of fully compliant PDF/X files (for print) or PDF/A files (for archival), in the smallest output PDF size possible. Furthermore, it’s possible to use the exact same HTML and CSS code on the web as well as for PDF generation. pdfChip has a low entry level, as the command-line interface is clear and easy-to-learn.