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Results 3,5813,590 of 5,886 for /net-im/.(0.005 seconds)
print/fontforge-20160404 (Score: 0.0070083328)
Type 1/TrueType/OpenType/bitmap font editor
FontForge (formerly called PfaEdit) is a PostScript font editor which can create and modify outline fonts in Type 1, CID-Keyed, TrueType, OpenType format. It can generate bitmaps and save in BDF format or embedded bitmaps in TrueType/OpenType fonts. It can generate Type3 and SVG fonts if built with multilayer feature. If you feel the shortage of memory, rebuilding multilayer-disabled FontForge with FONTFORGE_NO_MULTILAYER defined will save some memory. If you have installed AutoTrace or Potrace, you can generate outlines from imported bitmap images. For more information, see
print/ttfquery-1.0.5 (Score: 0.0070083328)
FontTools-based package for querying system fonts
TTFQuery builds on the FontTools package to allow the Python programmer to accomplish a number of tasks: * query the system to find installed fonts * retrieve metadata about any TTF font file (even those not yet installed) o abstract family type o proper font name o glyph outlines * build simple metadata registries for run-time font matching
russian/aspell-0.99.f7.1 (Score: 0.0070083328)
Aspell Russian dictionary
Aspell Russian dictionary (charset koi8-r).
russian/ircd-7.2.4 (Score: 0.0070083328)
Russian version of well known hybrid IRC server
ircd-hybrid-ru is russian version of well known hybrid IRC server with plently number of features russian version can handle russian channel names, nicknames and charset recoding
science/buddy-2.4 (Score: 0.0070083328)
Binary Decision Diagram library
BuDDY is a Binary Decision Diagram library, with: many highly efficient vectorized BDD operations, dynamic variable reordering, automated garbage collection, a C++ interface with automatic reference counting, and much more.
science/ghmm-0.9.r3 (Score: 0.0070083328)
General Hidden Markov Model Library in C
The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.
science/gnudatalanguage-0.9.6.v2 (Score: 0.0070083328)
GDL, a free IDL compatible incremental compiler
GDL - GNU Data Language - is a free IDL (Interactive Data Language) compatible incremental compiler (i.e. runs IDL programs). IDL is a registered trademark of Research Systems Inc. (see: <http://www.rsinc.com/>)
science/gwyddion-2.45 (Score: 0.0070083328)
Gtk2 based SPM data visualization and analysis tool
Gwyddion is a modular SPM (Scanning Probe Microsopy) data visualization and analysis tool written with Gtk+. It can be used for all most frequently used data processing operations including: leveling, false color plotting, shading, filtering, denoising, data editing, integral transforms, grain analysis, profile extraction, fractal analysis, and many more. The program is primarily focused on SPM data analysis (e.g. data obtained from AFM, STM, NSOM, and similar microscopes). However, it can also be used for analysis of SEM (Scanning Electron Microscopy) data or any other 2D data.
science/openbabel-2.3.2 (Score: 0.0070083328)
Chemistry file translation program
Open Babel is a project designed to pick up where Babel left off, as a cross-platform program and library designed to interconvert between many file formats used in molecular modeling and computational chemistry. Features currently include: * A huge variety of common chemical file formats * Recognition of file type based on filename extension * SMARTS matcher * Flexible atom typer * Gasteiger partial charge calculation * Hydrogen addition and deletion * Automatic feature perception (rings, hybridization, aromaticity) * Multiple conformer storage within molecules * Command line interface development class * Bitvector class * Open-source/Free Software under the GNU General Public License * Cross platform (Windows, Linux, Mac OS X, SGI, Solaris, Dreamcast...)
science/mlpy-3.5.0 (Score: 0.0070083328)
High performance Python package for predictive modeling
Machine Learning PY (mlpy) is a high-performance Python package for predictive modeling. It makes extensive use of numpy (http://scipy.org) to provide fast N-dimensional array manipulation and easy integration of C code. mlpy provides high level procedures that support, with few lines of code, the design of rich Data Analysis Protocols (DAPs) for preprocessing, clustering, predictive classification and feature selection. Methods are available for feature weighting and ranking, data resampling, error evaluation and experiment landscaping.The package includes tools to measure stability in sets of ranked feature lists.