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vlt Launches "reproduce": A New Tool Challenging the Limits of Package Provenance
vlt's new "reproduce" tool verifies npm packages against their source code, outperforming traditional provenance adoption in the JavaScript ecosystem.
gab-images-optimizer
Advanced tools
A versatile command-line utility for image optimization and conversion.
Version: 1.0.0
Author: Gabriel Rubio
gab-images-optimizer is a versatile command-line utility for image optimization and conversion. It allows you to optimize one or more images in a specified folder using various options, including resizing, quality adjustment, output format selection, and specifying a destination folder for the optimized images. It will maintain the same folder structure as the original.
To use gab-images-optimizer, you can install it globally using npm:
npm install -g gab-images-optimizer
After installation, you can use the CLI with the following command:
gio compress route [options]
-r, --resize <width>
: Resize images with a maximum width in pixels.-q, --quality <quality>
: Set the quality of the optimized images (default is 70).-f, --format <format>
: Specify the output format for the optimized images (e.g., png, jpg, webp).-d, --destination <path>
: Specify the destination path to create the new images folder (default is the current folder where the program is executed).gio compress .
../test/folder_name/
) with default settings:gio compress ../test/folder_name/
gio compress ../test/image_name.png/ -q 70 -f webp
gio compress ../test/folder_name/ --quality 60 --format jpg --resize 400 --destination ../../documents/new_folder/
or
gio compress ../test/folder_name/ -q 60 -f jpg -r 400 -d ../../documents/new_folder/
FAQs
A versatile command-line utility for image optimization and conversion.
The npm package gab-images-optimizer receives a total of 0 weekly downloads. As such, gab-images-optimizer popularity was classified as not popular.
We found that gab-images-optimizer demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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