diff --git a/.mdformat.toml b/.mdformat.toml
new file mode 100644
index 0000000..972483a
--- /dev/null
+++ b/.mdformat.toml
@@ -0,0 +1,3 @@
+wrap = 89
+number = true
+end_of_line = "lf"
diff --git a/doc/conf.py b/doc/conf.py
index aa500cb..0155ee8 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -160,7 +160,7 @@ def save_fig_scaling(dir_name, dim, n0, n1, n2=None):
 
 # List of patterns, relative to source directory, that match files and
 # directories to ignore when looking for source files.
-exclude_patterns = ["_build"]
+exclude_patterns = ["_build", "install/pfft-1.0.8-alpha/README.rst"]
 exclude_patterns.extend(
     [
         f"install/{name}.md"
diff --git a/doc/install.md b/doc/install.md
index 7262f9c..660e013 100644
--- a/doc/install.md
+++ b/doc/install.md
@@ -2,17 +2,16 @@
 
 # Installation and advice
 
-As already written in the overview, Fluidfft is organized as a main package
-provided few Fluidfft Python classes using standard packages (Numpy, pyfftw,
-Dask, etc.) and plugins which can use other methods, in particular based on C++
-classes using more advanced libraries (as pfft and p3dfft).
+As already written in the overview, Fluidfft is organized as a main package provided few
+Fluidfft Python classes using standard packages (Numpy, pyfftw, Dask, etc.) and plugins
+which can use other methods, in particular based on C++ classes using more advanced
+libraries (as pfft and p3dfft).
 
-In this page we focus on installing the base Fluidfft package for Fluidfft >=
-0.4.0.
+In this page we focus on installing the base Fluidfft package for Fluidfft >= 0.4.0.
 
-First, ensure that you have a recent Python installed, since Fluidsim requires
-Python >= 3.9. Some issues regarding the installation of Python and Python
-packages are discussed in
+First, ensure that you have a recent Python installed, since Fluidsim requires Python >=
+3.9. Some issues regarding the installation of Python and Python packages are discussed
+in
 [the main documentation of the project](http://fluiddyn.readthedocs.org/en/latest/install.html).
 
 ## Installation with pip
@@ -29,7 +28,21 @@ Fluidfft can be installed without compilation with `pip`:
 
 ```sh
 pip install pip -U
-pip install fluidsim
+pip install fluidfft
+```
+
+However, fluidfft [works with plugins](./plugins.md), which have to be installed
+additionally, for example using fluidfft optional dependencies. Installing [pyfftw] does
+not require compilation:
+
+```sh
+pip install "fluidfft[pyfftw]"
+```
+
+whereas installing other plugins will trigger local compilation.
+
+```sh
+pip install "fluidfft[fftw,mpi-with-fftw,fftwmpi]"
 ```
 
 ## Installation with conda
@@ -40,17 +53,14 @@ conda install fluidfft
 
 ### Remark on Numpy installed with conda
 
-In anaconda (or miniconda), Numpy installed with `conda install numpy` can be
-built and linked with MKL (an Intel library). This can be a real plus for
-performance since MKL replaces fftw functions by (usually) faster ones but it
-has a drawback for fft using the library fftw3_mpi (an implementation of
-parallel fft using 1D decomposition by fftw). MKL implements some fftw
-functions but not all the functions defined in fftw3_mpi. Since the libraries
-are loaded dynamically, if numpy is imported before the fftw_mpi libraries,
-this can lead to very bad issues (segmentation fault, only if numpy is imported
-before the class!). For security, we prefer to automatically disable the
-building of the fft classes using fftw3_mpi when it is detected that numpy uses
-the MKL library where some fftw symbols are defined.
+In anaconda (or miniconda), Numpy installed with `conda install numpy` can be built and
+linked with MKL (an Intel library). This can be a real plus for performance since MKL
+replaces fftw functions by (usually) faster ones but it has a drawback for fft using the
+library fftw3_mpi (an implementation of parallel fft using 1D decomposition by fftw). MKL
+implements some fftw functions but not all the functions defined in fftw3_mpi. Since the
+libraries are loaded dynamically, if numpy is imported before the fftw_mpi libraries,
+this can lead to very bad issues (segmentation fault, only if numpy is imported before
+the class!).
 
 To install with anaconda numpy linked with openblas:
 
@@ -61,6 +71,7 @@ conda install "blas[build=*openblas]" numpy
 
 ## Environment variables
 
-Fluidfft is sensible at runtime to the environment variable
-`TRANSONIC_BACKEND`. The Transonic backend is "pythran" by default, but it can
-also be set to "python" or "numba".
+Fluidfft is sensible at runtime to the environment variable `TRANSONIC_BACKEND`. The
+Transonic backend is "pythran" by default, but it can also be set to "python" or "numba".
+
+[pyfftw]: https://github.com/pyFFTW/pyFFTW/
diff --git a/pyproject.toml b/pyproject.toml
index 28637cf..cc141ad 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -47,7 +47,7 @@ pyfftw = ["pyfftw >= 0.10.4"]
 dask = ["dask"]
 mpi = ["mpi4py"]
 fftw = ["fluidfft-fftw"]
-mpi_with_fftw = ["fluidfft-mpi_with_fftw"]
+mpi-with-fftw = ["fluidfft-mpi_with_fftw"]
 fftwmpi = ["fluidfft-fftwmpi"]
 pfft = ["fluidfft-pfft"]
 p3dfft = ["fluidfft-p3dfft"]