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jcupitt/libvips

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A fast image processing library with low memory needs.

8 mentions on Hacker News by 8 people: 1 story, 7 comments · first 2015-03-22 · latest 2019-07-31

Mentions per year 8 mentions · busiest year 2018 (3)
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  1. …to consider for production consideration. Check out benchmark suite, seems more comprehensive: https://github.com/jcupitt/libvips/wiki/Speed-and-memory-use
  2. …not seen mentioned, it is probably the fastest image processing I've used yet. It uses libvips, https://github.com/jcupitt/libvips/wiki/HOWTO----Image-shrin... which not only handles resizing & other basic img needs but optimizes on top of…
  3. Never tried it, but it looks interesting where performance and memory use are issues. https://github.com/jcupitt/libvips Also it seems to have a GUI https://github.com/jcupitt/nip2 Thanks for sharing.
    comment by contingencies · 2018-03-26 · in Fred's ImageMagick Scripts
  4. …task. The source code for each implementation of the task is right there on the page. [1] https://github.com/jcupitt/libvips/wiki/Speed-and-memory-use
    comment by networked · 2018-03-25 · in Fred's ImageMagick Scripts
  5. Interesting, I wonder if it beats VIPS yet. VIPS page says they beat Pillow-SIMD 4.3.0 by a tad: https://github.com/jcupitt/libvips/wiki/Speed-and-memory-use Pillow-SIMD's page says it beats VIPS: https://python-pillow.org/pillow-perf/…
  6. vips is another great industrial-grade image processing library https://github.com/jcupitt/libvips http://www.vips.ecs.soton.ac.uk/index.php?title=Libvips
    comment by kjell · 2016-10-29 · in GraphicsMagick Image Processing System
  7. …API using libvips [2]. This is based on sharp [3], a good wrapper of libvips for Node.js. [1] https://github.com/jcupitt/libvips [2] https://github.com/nthtran/imgop [3] https://github.com/lovell/sharp