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www/tinymce-3.5.8 (Score: 0.0031396283)
Open source JavaScript HTML WYSIWYG editor for web sites
TinyMCE is a platform independent web based Javascript HTML WYSIWYG editor control released as Open Source under LGPL by Moxiecode Systems AB. It has the ability to convert HTML TEXTAREA fields or other HTML elements to editor instances. TinyMCE is very easy to integrate into other Content Management Systems. TinyMCE Features: - Easy to integrate, takes only two lines of code. - Customizable through themes and plugins. - Customizable XHTML 1.0 output. Block invalid elements and force attributes. - International language support (Language packs) - Multiple browser support, Mozilla, MSIE, FireFox, Opera and Safari (experimental). - PHP/.NET/JSP/Coldfusion GZip compressor, Makes TinyMCE 75% smaller and a lot faster to load. - You can easily use AJAX to save and load content!
x11-fonts/gemini-1.0 (Score: 0.0031396283)
Ukrainian KOI8 fonts for X11R6 (koi8-u)
This package contains the set of ukrainian fonts for X11 Release 6. Copyright (C) 1995 Victor Forsyuk <victor@gu.net> This set is based on so-called "Cronyx" font set, that was copyrighted by Cronyx Ltd.: Copyright (C) 1994-1995 Cronyx Ltd. Under no circumstances is the author responsible for the proper functioning of this software, nor does the author assume any responsibility for damages incurred with its use. This port also creates two aliases for each of the fonts -- for koi8-r encoding (koi8-u is a superset of koi8-r anyway) and for cronyx foundry. Some applications (gtk?) look for -cronyx-*- and/or *-koi8-r explicitly, but there is no reason why this fonts can not be used in those cases.
audio/cdparanoia-3.9.8 (Score: 0.0025117027)
CDDA extraction tool (also known as ripper)
Cdparanoia is a Compact Disc Digital Audio (CDDA) Digital Audio Extraction (DAE) tool, commonly known on the net as a 'ripper'. The application is built on top of the Paranoia library, which is doing the real work (the Paranoia source is included in the cdparanoia source distribution). Cdparanoia reads audio from the CDROM directly as data, with no analog step between, and writes the data to a file or pipe in WAV, AIFC, or raw 16 bit linear PCM. Cdparanoia is a bit different than most other CDDA extraction tools. It contains few-to-no 'extra' features, concentrating only on the ripping process and knowing as much as possible about the hardware performing it. Cdparanoia will read correct, rock-solid audio data from inexpensive drives prone to misalignment, frame jitter, and loss of streaming during atomic reads. Cdparanoia will also read and repair data from CDs that have been damaged in some way. Cdparanoia is easy to use and administrate. It has no compile time configuration, happily autodetecting the CDROM, its type, its interface and other aspects of the ripping process at runtime. A single binary can serve the diverse hardware of the do-it-yourself computer laboratory from Hell.
devel/ResourcePool-1.0107 (Score: 0.0025117027)
Generic way to use connection caching for any kind of resources
The ResourcePool is a generic connection caching and pooling management facility. It might be used in an Apache/mod_perl environment to support connection caching like Apache::DBI for non-DBI resources (e.g. Net::LDAP). It's also useful in a stand alone perl application to handle connection pools. The key benefit of ResourcePool is the generic design which makes it easily extensible to new resource types. The ResourcePool has a simple check mechanism to detect and close broken connections (e.g. if the database server was restarted) and opens new connections if possible. If you are new to ResourcePool you should go to the ResourcePool::BigPicture documentation which provides the best entry point to this module. The ResourcePool itself handles always exactly equivalent connections (e.g. connections to the same server with the same user-name and password) and is therefore not able to do a load balancing. The ResourcePool::LoadBalancer is able to do a advanced load balancing across different servers and increases the overall availability by applying a failover policy if there is a server breakdown.
graphics/GraphicsMagick-1.3.24 (Score: 0.0025117027)
Fast image processing tools based on ImageMagick
GraphicsMagick is the swiss army knife of image processing. Comprised of 267K physical lines (according to David A. Wheeler's SLOCCount) of source code in the base package (or 1,225K including 3rd party libraries) it provides a robust and efficient collection of tools and libraries which support reading, writing, and manipulating an image in over 88 major formats including important formats like DPX, GIF, JPEG, JPEG-2000, PNG, PDF, PNM, and TIFF. GraphicsMagick supports huge images and has been tested with gigapixel-size images. GraphicsMagick can create new images on the fly, making it suitable for building dynamic Web applications. GraphicsMagick may be used to resize, rotate, sharpen, color reduce, or add special effects to an image and save the result in the same or different image format. Image processing operations are available from the command line, as well as through C, C++, Lua, Perl, PHP, Python, Tcl, Ruby, Windows .NET, or Windows COM programming interfaces. With some modification, language extensions for ImageMagick may be used.
science/libsvm-3.21 (Score: 0.0025117027)
Library for Support Vector Machines
LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. Since version 2.8, it implements an SMO-type algorithm proposed in this paper: R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using second order information for training SVM. Journal of Machine Learning Research 6, 1889-1918, 2005. You can also find a pseudo code there. Our goal is to help users from other fields to easily use SVM as a tool. LIBSVM provides a simple interface where users can easily link it with their own programs. Main features of LIBSVM include * Different SVM formulations * Efficient multi-class classification * Cross validation for model selection * Probability estimates * Weighted SVM for unbalanced data * Both C++ and Java sources * GUI demonstrating SVM classification and regression * Python, R (also Splus), MATLAB, Perl, Ruby, Weka, Common LISP and LabVIEW interfaces. C# .NET code is available. It's also included in some learning environments: YALE and PCP. * Automatic model selection which can generate contour of cross valiation accuracy.