348 projects tagged "Cygwin"
Updated 12 Jan 2012
coNCePTuaL
| Pop | 80.37 |
|---|---|
| Vit | 11.33 |
coNCePTuaL is a domain-specific programming language for rapidly generating programs that measure the performance and/or test the correctness of networks and network protocol layers. A few lines of coNCePTuaL code can produce programs that would take significantly more effort to write in a conventional programming language.
Updated 19 Sep 2004
Rateless-coded Transport
| Pop | 33.57 |
|---|---|
| Vit | 1.00 |
Rateless-coded Transport is a set of applications that use ground-breaking error correcting codes technology. They support fast reliable transmission over UDP, live content streaming and Internet multicast trees, duplex firewall transparency, ultra-fast reliable transport for WANs (up to 40-times faster than TCP), and optimal peer-to-peer multi-source download protocols.
Updated 02 Dec 2008
Mrxvt
| Pop | 158.07 |
|---|---|
| Vit | 5.89 |
Mrxvt (previously known as materm) is a multi-tab X terminal emulator based on rxvt/aterm. It supports multiple tabs, runtime dynamic tab title, pseudo-transparent backgrounds, user-supplied background images (JPEG, PNG, or XPM), background color tinting, text shadows, NeXT/rxvt/xterm/SGI style scrollbars, XIM, multiple languages (Chinese, Korean, and Japanese) and logging. It is lightweight and fast, and only depends on Xlib.
Updated 26 Oct 2007
PL/1 for GCC
| Pop | 48.86 |
|---|---|
| Vit | 3.28 |
The pl1gcc project is an attempt to create a native PL/I compiler using the GNU Compiler Collection. PL/I is a third-generation procedural language suitable for a wide range of applications including system software, graphics, simulation, text processing, Web, and business applications.
Updated 24 Apr 2012
D frontend for GCC
| Pop | 108.11 |
|---|---|
| Vit | 12.59 |
D is a high-level language derived from C and C++ but is not backwards-compatible with either. GDC is a frontend for D written for GCC.
Updated 15 Oct 2004
spew
| Pop | 24.70 |
|---|---|
| Vit | 1.00 |
Spew is used to measure I/O performance of character devices, block devices, and regular files. It can also be used to generate high I/O loads to stress systems while verifying data integrity.
Updated 12 May 2013
GetDP
| Pop | 195.47 |
|---|---|
| Vit | 30.54 |
GetDP is a general finite element solver using mixed elements to discretize de Rham-type complexes in one, two, and three dimensions. The main feature of GetDP is the closeness between the input data defining discrete problems (written by the user in ASCII data files) and the symbolic mathematical expressions of these problems.
Updated 18 Jan 2006
GODI
| Pop | 28.46 |
|---|---|
| Vit | 1.53 |
GODI provides an advanced programming environment for the Objective Caml (O'Caml) language. From INRIA (who created O'Caml) you can get the O'Caml compiler and runtime system, but this is usually not enough to develop applications. You also need libraries, and there are many developers providing them. But it is a lot of work to build and install them. GODI is a system that simplifies this task: It is a framework that automatically builds the O'Caml core system, and additionally installs a growing number of pre-packaged libraries. For a number of reasons, GODI is a source-code based system, and there are no precompiled libraries, but it makes it very simple for everybody to compile them.
Updated 04 Jan 2005
Smart Gnome Control
| Pop | 27.00 |
|---|---|
| Vit | 1.75 |
Smart Gnome Control is a graphical user interface to multiple communications receivers via the Hamlib library. The specific purpose is to let you control your communications receiver from a personal computer, and to simplify the hobby of shortwave radio listening.
Updated 25 May 2006
Pattern Classification Program
| Pop | 89.81 |
|---|---|
| Vit | 2.71 |
PCP (Pattern Classification Program) is a machine learning program for supervised classification of patterns. It runs in interactive and batch modes, and implements the following machine learning algorithms and methods: k-means clustering, Fisher's linear discriminant, dimension reduction using Singular Value Decomposition, Principal Component Analysis, feature subset selection, Bayes error estimation, parametric classifiers (linear and quadratic), pseudo-inverse linear discriminant, k-Nearest Neighbor method, neural networks, Support Vector Machine algorithm (SVM), model selection for SVM, cross-validation, and bagging (committee) classification.
