We've been talking about responsive images for years now, but what is the actual cost of delivering non-responsive images to narrow viewports? How many bytes are wasted on the wire(less)?

This tool evaluates the savings by resizing images to various viewports, with the goal of fitting images into a "performance budget".

./sizer.py <URL> ./bulkSizer <Text file with URLs>

Besides the summary results printed to screen, you can see detailed per-image results in your /tmp/ directory. A directory will be created there for each site. The original, optimized, and resized images are stored there - as well as result logs per viewport.

• Python
• PhantomJS
• image_optim (A CLI version of ImageOptim)
• ImageMagick
• python-slugify
• python-magic

• Ubuntu/Debian run ubuntu_install.sh.
• OSX run osx_install.sh.
• Other-linux install the dependencies projects and you should be good to go.
• If you're on Windows, Install Ubuntu :P

• getImageDimensions.js is a phantomjs script that downloads the requested URL, and outputs all of its content images as well as their dimensions.
• downloadr.py downloads the image resources.
• resizeBenefits.py gets the results of getImageDimensions.js, and resizes the images to see what their resized size is. It also optimizes the original images using image_optim, to see how much lossless optimization can get us.
• sizer.py iterates over the other scripts with several viewport sizes. Adding more viewports is simple, but it slows down the running time.

It's Saturday.