web-image-formats-research

web-image-formats-research

kadykov

Reproducible research toolkit for benchmarking AVIF, JPEG XL, WebP, and JPEG on web images with perceptual quality metrics, statistical analysis, visual comparisons, and interactive reports.

5 Stars
0 Forks
5 Watchers
Python Language
mit License
68.9 SrcLog Score
Cost to Build
$21.63M
Market Value
$23.80M

Growth over time

3 data points  ·  2026-04-10 → 2026-04-25
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What is the kadykov/web-image-formats-research GitHub project? Description: "Reproducible research toolkit for benchmarking AVIF, JPEG XL, WebP, and JPEG on web images with perceptual quality metrics, statistical analysis, visual comparisons, and interactive reports.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone web-image-formats-research

Clone via HTTPS

git clone https://github.com/kadykov/web-image-formats-research.git

Clone via SSH

[email protected]:kadykov/web-image-formats-research.git

Download ZIP

Download master.zip

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