a cross-platform specification language that manages all the separate
elements normally aggregated in different files, like users, cron jobs, and
hosts, along with obviously discrete elements like packages, services, and
files.
WWW: http://www.reductivelabs.com/projects/puppet/
PR: ports/109795
Submitted by: Tomoyuki Sakurai <cherry at trombik.mine.nu>
Supports multiple resolution mechanisms, any of which can be restricted to
working only on certain operating systems or environments. Facter is
especially useful for retrieving things like operating system names, IP
addresses, MAC addresses, and SSH keys.
WWW: http://www.reductivelabs.com/projects/facter/
PR: ports/109794
Submitted by: Tomoyuki Sakurai <cherry at trombik.mine.nu>
write asynchronous FTP servers with Python. Based on asyncore / asynchat
frameworks pyftpdlib is actually the most complete RFC959 FTP server
implementation available for Python language.
WWW: http://billiejoex.altervista.org/pyftpdlib.html
PR: ports/109934
Submitted by: Li-Wen Hsu <lwhsu at lwhsu.org>
come with different versions of tcl and tk. Users can define which version
of the tcl and tk shells should be called.
To make use of the "tclsh" wrapper, users need to install tcl.
Recommended tcl ports: lang/tcl84 lang/tcl85
To make use of the "wish" wrapper, users need to install tk.
Recommended tk ports: x11-toolkits/tk84 x11-toolkits/tk85
- Martin Matuska
martin@matuska.org
PR: ports/109852
Submitted by: martin at matuska.org
It is 90% compatible to ocamlyacc (included with the OCaml distribution), and
it has some advantages over ocamlyacc, such as limited EBNF support, LR(1)
generation instead of LALR(1), better conflict explanation and production of
reentrant parsers (amongst others).
WWW: http://cristal.inria.fr/~fpottier/menhir
PR: ports/109910
Submitted by: Jaap Boender <jaapb at kerguelen.org>
library, which implements multilayer artificial neural networks in C with
support for both fully connected and sparsely connected networks.
Cross-platform execution in both fixed and floating point are supported. It
includes a framework for easy handling of training data sets. It is easy to
use, versatile, well documented, and fast. PHP, C++, .NET, Ada, Python, Delphi,
Octave, Ruby, Pure Data and Mathematica bindings are available. A reference
manual accompanies the library with examples and recommendations on how to use
the library. A graphical user interface is also available for the library.
WWW: http://leenissen.dk/fann/
PR: ports/109853
Submitted by: Tz-Huan Huang <tzhuan at csie.org>
