Hi Mark, Thanks for the patch. > +(define-module (gnu packages ai) > + #:use-module ((guix licenses) #:prefix license:) > + #:use-module (guix utils) > + #:use-module (guix download) > + #:use-module (guix packages) > + #:use-module (guix build-system cmake) > + #:use-module (guix git-download) > + #:use-module (gnu packages)) I think machine-learning.scm would be a good home for this package, so a new file wouldn't be needed. > + > +(define-public libfann > + (package > + (name "libfann") > + (version "d71d54788b") The last release is 129 commits behind and it has been some time, so I think you are right - we should package from a git commit. Usually we package from git using this style though (i.e. reason for not using the release, use of 'file-name', and a version that includes the last release followed by '-1.').   ;; There are no recent releases so we package from git.   (let ((commit "da121155a977197cab9fbb15953ca1b40b11eb87"))     (package       (name "newick-utils")       (version (string-append "1.6-1." (string-take commit 8)))       (source (origin                 (method git-fetch)                 (uri (git-reference                       (url "https://github.com/tjunier/newick_utils.git")                       (commit commit)))                 (file-name (string-append name "-" version "-checkout"))                 (sha256                  (base32 "1hkw21rq1mwf7xp0rmbb2gqc0i6p11108m69i7mr7xcjl268pxnb")))) > + (source (origin > + (method git-fetch) > + (uri (git-reference > + (url"https://github.com/libfann/fann.git") > + (commit version))) > + (sha256 > + (base32 > + "0ibwpfrjs6q2lijs8slxjgzb2llcl6rk3v2ski4r6215g5jjhg3x")))) > + (build-system cmake-build-system) > + (arguments > + `(#:tests? #f)) I see from the website: > Once you have installed the library you can test it out by going to > the examples directory and type |make runtest|, which will compile the > examples and run a few of them to test that everything is working. Is that possible? Ideally, since there are tests it would be good to run them. > + (home-page"http://leenissen.dk/fann/wp/") > + (synopsis "Fast Artificial Neural Network") > + (description > + "FANN is a free open source neural network library, which implements > +multilayer artificial neural networks in C with support for both fully > +connected and sparsely connected networks.") > + (license license:lgpl2.1))) Otherwise LGTM. Can you send an updated patch please? Thanks, ben