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revise README for 8.7

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John Cupitt 2018-08-17 17:52:45 +01:00
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[![Build Status](https://travis-ci.org/jcupitt/libvips.svg?branch=master)](https://travis-ci.org/jcupitt/libvips)
[![Coverity Status](https://scan.coverity.com/projects/6503/badge.svg)](https://scan.coverity.com/projects/jcupitt-libvips)
libvips is a 2D image processing library. Compared to
similar libraries, [libvips runs quickly and uses little
libvips is a [demand-driven, horizontally
threaded](https://github.com/jcupitt/libvips/wiki/Why-is-libvips-quick)
image processing library. Compared to similar
libraries, [libvips runs quickly and uses little
memory](https://github.com/jcupitt/libvips/wiki/Speed-and-memory-use).
libvips is licensed under the LGPL 2.1+.
libvips is licensed under the [LGPL
2.1+](https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html).
It has around 300 operations covering arithmetic, histograms, convolutions,
morphological operations, frequency filtering, colour, resampling, statistics
and others. It supports a large range of numeric formats, from 8-bit int
to 128-bit complex. It supports a good range of image formats, including
JPEG, TIFF, PNG, WebP, FITS, Matlab, OpenEXR, PDF, SVG, HDR, PPM, CSV, GIF,
Analyze, DeepZoom, and OpenSlide. It can also load images via ImageMagick
or GraphicsMagick.
It has around [300 operations](API/current/func-list.html) covering
arithmetic, histograms, convolution, morphological operations, frequency
filtering, colour, resampling, statistics and others. It supports a large
range of [numeric formats](API/current/VipsImage.html#VipsBandFormat),
from 8-bit int to 128-bit complex. Images can have any number of bands.
It supports a good range of image formats, including JPEG, TIFF,
PNG, WebP, FITS, Matlab, OpenEXR, PDF, SVG, HDR, PPM, CSV, GIF, Analyze,
NIfTI, DeepZoom, and OpenSlide. It can also load images via ImageMagick or
GraphicsMagick, letting it load formats like DICOM.
It has APIs for
[C](http://jcupitt.github.io/libvips/API/current/using-from-c.html) and
[C++](http://jcupitt.github.io/libvips/API/current/using-from-cpp.html)
and a [command-line
interface](http://jcupitt.github.io/libvips/API/current/using-cli.html).
Bindings are available for [Python](https://pypi.python.org/pypi/pyvips),
[Ruby](https://rubygems.org/gems/ruby-vips),
[PHP](https://github.com/jcupitt/php-vips),
[Go](https://github.com/davidbyttow/govips),
[Lua](https://github.com/jcupitt/lua-vips), JavaScript and others. There is
full [documentation](http://jcupitt.github.io/libvips/API/current).
There are several GUIs as well, see the [VIPS
website](http://jcupitt.github.io/libvips).
It comes with bindings for [C](API/current/using-from-c.html),
[C++](API/current/using-from-cpp.html),
and the [command-line](API/current/using-cli.html). Full bindings
are available for [Ruby](https://rubygems.org/gems/ruby-vips),
[Python](https://pypi.python.org/pypi/pyvips),
[PHP](https://github.com/jcupitt/php-vips),
[.NET](https://www.nuget.org/packages/NetVips),
[Go](https://github.com/davidbyttow/govips), and
[Lua](https://github.com/jcupitt/lua-vips). libvips
is used as an image processing engine by [sharp (on
node.js)](https://www.npmjs.org/package/sharp),
[bimg](https://github.com/h2non/bimg),
[sharp for Go](https://github.com/DAddYE/vips),
[Ruby on Rails](http://edgeguides.rubyonrails.org/active_storage_overview.html),
[carrierwave-vips](https://github.com/eltiare/carrierwave-vips),
[mediawiki](http://www.mediawiki.org/wiki/Extension:VipsScaler),
[PhotoFlow](https://github.com/aferrero2707/PhotoFlow) and others.
The official libvips GUI is [nip2](https://github.com/jcupitt/nip2),
a strange combination of a spreadsheet and an photo editor.
There are packages for most unix-like operating systems and binaries for
Windows and OS X.