Improve project description

README.md

@@ -1,5 +1,4 @@
-FluidImage
-==========
+# FluidImage
 
 [![Latest version](https://img.shields.io/pypi/v/fluidimage.svg)](https://pypi.python.org/pypi/fluidimage/)
 ![Supported Python versions](https://img.shields.io/pypi/pyversions/fluidimage.svg)
@@ -9,51 +8,46 @@ FluidImage
 [![Github Actions Linux](https://github.com/fluiddyn/fluidimage/actions/workflows/ci-linux.yml/badge.svg?branch=branch/default)](https://github.com/fluiddyn/fluidimage/actions/workflows/ci-linux.yml)
 [![Github Actions Pixi](https://github.com/fluiddyn/fluidimage/actions/workflows/ci-pixi.yml/badge.svg?branch=branch/default)](https://github.com/fluiddyn/fluidimage/actions/workflows/ci-pixi.yml)
 
-FluidImage is a libre Python framework for scientific processing of
-large series of images.
+FluidImage is a libre Python framework for scientific processing of large series of
+images.
 
 **Documentation:** <http://fluidimage.readthedocs.org>
 
-Image processing for fluid mechanics is highly dominated by proprietary
-tools. Such tools are not ideal when you want to understand and tweak
-the processes and/or to use clusters. With the improvement of the
-open-source tools for scientific computing and collaborative
-development, one can think it is possible to build together a good
-library/toolkit specialized in image processing for fluid mechanics.
-This is our project with FluidImage.
+Image processing for fluid mechanics is highly dominated by proprietary tools. Such tools
+are not ideal when you want to understand and tweak the processes and/or to use clusters.
+With the improvement of the open-source tools for scientific computing and collaborative
+development, one can think it is possible to build together a good library/toolkit
+specialized in image processing for fluid mechanics. This is our project with FluidImage.
 
-This package is young but already good enough to be used "in
-production" to
+This package is young but already good enough to be used "in production" to
 
 - display and pre-process images,
 
-- compute displacement or velocity fields with [Particle Image
-  Velocimetry](https://en.wikipedia.org/wiki/Particle_image_velocimetry%20(PIV))
-  (PIV, i.e. displacements of pattern obtained by correlations of
-  cropped images) and [optical
-  flow](https://en.wikipedia.org/wiki/Optical_flow),
+- compute displacement or velocity fields with
+  [Particle Image Velocimetry](<https://en.wikipedia.org/wiki/Particle_image_velocimetry%20(PIV)>)
+  (PIV, i.e. displacements of pattern obtained by correlations of cropped images) and
+  [optical flow](https://en.wikipedia.org/wiki/Optical_flow),
 
 - analyze and display PIV fields.
 
-We want to make FluidImage easy (useful documentation, easy
-installation, usable with scripts and GUI in Qt), reliable (with good
-[unittests](https://codecov.io/gh/fluiddyn/fluidimage/)) and very
-efficient, in particular when the number of images to process becomes
-large. Thus we want FluidImage to be able to run efficiently and easily
-on a personal computer and on big clusters. The efficiency is achieved
-by using
+We want to make FluidImage easy (useful documentation, easy installation, usable with
+scripts and GUI in Qt), reliable (with good
+[unittests](https://codecov.io/gh/fluiddyn/fluidimage/)) and very efficient, in
+particular when the number of images to process becomes large. Thus we want FluidImage to
+be able to run efficiently and easily on a personal computer and on big clusters. The
+efficiency is achieved by using
 
 - a framework for asynchronous computations (currently, we use
-  [Trio](https://trio.readthedocs.io) + multiprocessing, and in the
-  long term we want to be able to plug FluidImage to distributed
-  computational systems like [Dask](http://dask.pydata.org),
-  [Spark](https://spark.apache.org/) or
+  [Trio](https://trio.readthedocs.io) + multiprocessing, and in the long term we want to
+  be able to plug FluidImage to distributed computational systems like
+  [Dask](http://dask.pydata.org), [Spark](https://spark.apache.org/) or
   [Storm](http://storm.apache.org/)),
 
-- the available cores of the central processing units (CPU) and the
-  available graphics processing units (GPU),
+- the available cores of the central processing units (CPU) and the available graphics
+  processing units (GPU),
 
 - good profiling and efficient and specialized algorithms,
 
 - cutting-edge tools for fast computations with Python (in particular
-  [Pythran](https://pythonhosted.org/pythran/)).
+  [Pythran](https://pythran.readthedocs.io) through
+  [Transonic](https://transonic.readthedocs.io)).

pyproject.toml

@@ -45,12 +45,15 @@ classifiers = [
     "Programming Language :: Python",
     "Programming Language :: Python :: 3",
     "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.9",
     "Topic :: Scientific/Engineering",
 ]
 
 [project.urls]
-Homepage = "https://foss.heptapod.net/fluiddyn/fluidimage"
+homepage = "https://foss.heptapod.net/fluiddyn/fluidimage"
+documentation = "https://fluidimage.readthedocs.io"
+read-only-mirror = "https://github.com/fluiddyn/fluidimage"
 
 [project.scripts]
 fluidimlauncher = "fluidimage.gui.launcher.main:main"