1.4. Download other/specific AFNI/SUMA software¶
If you are setting up your system for running AFNI, the main set of installation instructions for most operating systems is provided on THIS page.
Here, we provide direct links for downloading precompiled AFNI binaries, as well as the compilable source code.
As of Jan. 1, 2016, AFNI utilizes a version numbering system, which is useful for tracking changes, getting help on the Message Board, reporting in published work, etc. The version is reported using a trio of numbers, corresponding to “major.minor.micro” (or roughly, “yearly.quarterly.oftenly”) updates. You can discover the mystery number on your own system by simply typing:
This version number should always be provided when posting questions on the Message Board.
The record of changes (new options, new programs, bug fixes, et al.) is maintained for all the see in the online AFNI History.
If you already have AFNI binaries working on your computer, all you need to do is run:
This automatically detects which package to download and where to
install it. The new binaries are placed in the same location so you
can just keep rollin’ along. (The existing/old binaries are placed in
a subdirectory called
auto_backup.BINARY_VERSION/, just in case
you want them.)
To download particular a set of binaries, then you can click on a link below for your desired system.
Again, to go through full AFNI install for Linux, Mac or even now Windows 10 users, look at the main install page instructions.
Unless otherwise stated, the binaries are for 64 bit systems.
For Linux/Unix (and Windows with Linux installed)
for Ubuntu (>= 16.04):
curl -O https://afni.nimh.nih.gov/pub/dist/tgz/linux_ubuntu_16_64.tgz
for Ubuntu (<16), Fedora, Red Hat, etc.:
curl -O https://afni.nimh.nih.gov/pub/dist/tgz/linux_openmp_64.tgz
for CentOS, Red Hat (RHEL 7):
curl -O https://afni.nimh.nih.gov/pub/dist/tgz/linux_centos_7_64.tgz
For Mac OS
For other systems
32 bit linux systems:
curl -O https://afni.nimh.nih.gov/pub/dist/tgz/linux_xorg7.tgz
possibly other Linux, but probably use one of the above options:
curl -O https://afni.nimh.nih.gov/pub/dist/tgz/linux_xorg7_64.tgz
Fedora 21, but these binaries are no longer updated (at the moment):
curl -O https://afni.nimh.nih.gov/pub/dist/tgz/linux_fedora_21_64.tgz
Another way to get AFNI working on your computer (requiring a bit more work) is to compile from the source itself:
- AFNI Source Code
Compilable source (can be built on most Linux/Unix/Mac):
curl -O https://afni.nimh.nih.gov/pub/dist/tgz/afni_src.tgz
There are several usable, example
Makefiles included in the main
afni_src/ directory, as well as a couple (mainly for Linux
In all likelihood this option is pretty much only useful if you are writing or contributing code yourself, or if your system is particularly finicky. Otherwise, it is likely far easier to grab a set of recommended precompiled binaries of the Linux/Unix or Mac variety.
The following is a browsable page that contains a tarball for each of the precompiled platform versions:
It also contains several standard reference brains and demo data
sets. All files are downloadable by clicking on the links on the above
page, and also by using command line functions such as
curl -O, such as:
curl -O https://afni.nimh.nih.gov/pub/dist/tgz/TTatlas+tlrc.* curl -O https://afni.nimh.nih.gov/pub/dist/tgz/TTatlas+tlrc.*
NB: for most demo sets, there is an
@Install_* command to procure
and open the directory.