Coverage.py vs. Python vs. pdfmake vs. scikit-image 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.

pdfmake is a PDF document generation library for server-side and client-side usage in pure JavaScript. Print PDFs directly in the browser or delegate them to your NodeJS backend. Use the same document definition in both cases. Forget about manual x, and y calculations. Declare document structure and let pdfmake do the rest. Use paragraphs, columns, lists, tables, canvas, etc. Declare your own styles, use custom fonts, build a DSL, and extend the framework. Line-wrapping, text-alignments (left, right, centered, justified), numbered and bulleted lists, margins, images, and vector graphics. Convenient styling, style inheritance, and custom style dictionaries. Auto/fixed/star-sized/percentage columns widths, col-spans, and row-spans, headers automatically repeated in case of a page-break, non-breaking rows, and non-breaking sections keeping headers and rows together. Static or dynamic content, page numbers, and page count.