Coverage.py vs. Python vs. hapi 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.

Build powerful, scalable applications, with minimal overhead and full out-of-the-box functionality, your code, your way. Developed initially to handle Walmart’s Black Friday sales, hapi continues to be the proven choice for enterprise-grade backend needs. When you install hapi, every single line of code you get has been verified. You never have to worry about some deep dependency being poorly maintained (or handed over to someone sketchy). hapi is the only leading node framework without any external code dependencies. hapi requires the most secure settings to manage, control, and distribute code, including 2FA for all contributors. Every hapi component comes with the most secure defaults out of the box. Along with protecting server load with payload limits and request timeouts, hapi blocks error messages that could leak information or echo back exploits. The most comprehensive authorization and authentication API available in a Node framework.