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QtOctave is a front-end for Octave. Octave is a high-level language for numerical computations, like Matlab.

3.75
   
  0 reviews  |  11 users  |  23,920 lines of code  |  0 current contributors  |  Analyzed 5 months ago
 
 

Converts the mathematical formulae from one format to another.

0
 
  0 reviews  |  1 user  |  15,546 lines of code  |  1 current contributor  |  Analyzed 11 days ago
 
 

SciTools is a Python package containing lots of useful tools for scientific computing in Python. The package is built on top of other widely used packages such as NumPy, SciPy, ScientificPython, Gnuplot, etc. SciTools also comes with a plotting interface called Easyviz, which is a unified ... [More] interface to various packages for scientific visualization and plotting. Both curve plots and more advanced 2D/3D visualization of scalar and vector fields are supported. The Easyviz interface was designed with three ideas in mind: 1) a simple, Matlab-like syntax; 2) a unified interface to lots of visualization engines (backends): Gnuplot, Matplotlib, Grace, Veusz, Pmw.Blt.Graph, PyX, Matlab, VTK, VisIt, OpenDX; and 3) a minimalistic interface which offers only basic control of plots: curves, linestyles, [Less]

5.0
 
  0 reviews  |  1 user  |  31,126 lines of code  |  2 current contributors  |  Analyzed about 8 hours ago
 
 

PyVisi is the Python visualisation interface: a generic Python-based interface to many different scientific visualisation packages. PyVisi is intended for use in both standard and high-performance computing environments, and with the escript package.

0
 
  0 reviews  |  1 user  |  212,184 lines of code  |  0 current contributors  |  Analyzed 6 days ago
 
 

The Advanced Data mining and Machine learning System (ADAMS) is a novel, flexible workflow engine aimed at quickly building and maintaining real-world, complex knowledge workflows. Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators ... [More] determine how the data is being processed (sequentially or parallel). This allows rapid development and easy maintenance of large workflows, with hundreds or thousands of operators. Operators offer machine learning using WEKA and MOA, image processing with ImageJ, JAI, ImageMagick and Gnuplot. The R-Project can be used in the flow using Rserve. The WEKA webservice allows other frameworks to use WEKA's models. Fast prototyping is available through scripting languages such as Groovy and Jython. [Less]

0
 
  0 reviews  |  1 user  |  379,440 lines of code  |  5 current contributors  |  Analyzed 8 days ago
 
 

Demonstrates how to simply create a web page that uses gnuplot to graph 2d functions, 3d functions, and plots of financial time series data. Initially created as a perl cgi script. Currently being ported to have the same functionality using haskell and cgi. Future plans are to experiment with ... [More] the HAppS and WASH haskell web frameworks to expand on existing functionality, eventually winding up with something like a pastebin for gnuplot that would display and remember scripts in such a way that they could be posted as urls, eg to forums. Code for this might be loosely based on hpaste. Demo at http://64.22.71.11/gnuplot/gnuplot.html [Less]

0
 
  0 reviews  |  0 users  |  319 lines of code  |  0 current contributors  |  Analyzed 6 days ago
 
 

This is a small peice of code which is based on the C interface to gnuplot written by N. Devillard. The original code was pure C and though it compiled with a C++ compiler I felt that it could be rewritten in an OO fashion. Hence this project. Like the original interface, it depends on the system ... [More] having POSIX pipes. You can download the source code using the link on the right. Included with the source code is a great example file showing some of the available features. There is some doxygen-based documentation, but it needs some work to be complete. If you would like to help out with this project, we welcome you. Start by checking out the source code with subversion and contact the project maintainer, Jeremy Conlin jeremit0@gmail.com. [Less]

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  0 reviews  |  0 users  |  1,114 lines of code  |  0 current contributors  |  Analyzed 10 days ago
 
 

The project aim is to optimize the simple Aliev Panfilov model and make it behave as much as possible as the detailed Luo Rudy model by using the particle swarm optimisation technique.

0
 
  0 reviews  |  0 users  |  310 lines of code  |  0 current contributors  |  Analyzed 5 days ago
 
 

This is a single GNU makefile that builds a LaTeX document into various targets with minimal latex/bibtex invocations. It colorizes and swallows the normally unhelpful latex output so that errors and other important messages are easy to spot. It handles GNUplot, Fig, and Dot image creation (and ... [More] handles many more formats besides), and does automatic dependency tracking. Perhaps most important, it is convenient because it is a single file and only depends on standard Unix utilities that are likely to exist on any system. It includes built-in help documentation and various utilities to test whether it will work on your system. NEW!The makefile now supports pdflatex natively, as of version 2.2.0. Please use the issue tracker to submit bugs. Old behavior is obtainable by setting the BUILD_STRATEGY=latex variable in Makefile.ini. [Less]

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  0 reviews  |  0 users  |  1,440 lines of code  |  0 current contributors  |  Analyzed 4 days ago
 
 

Clustered/Stacked Filled Bar Graph GeneratorI wanted a scriptable bar graph generator for my PhD thesis that supported stacked and clustered bars, but couldn't find one that played well with latex and had all the features I wanted, so I built my own. I followed the scheme of Graham Williams' ... [More] barchart shell script to have gnuplot produce fig output and then mangle it to fill in the bars. I added support for more than just two or three clustered datasets and support for stacked bars, as well as automatic averaging and other features. The primary features include: Stacked bars of 9+ datasets Clustered bars of 8+ datasets Clusters of stacked bars Lets you keep your data in table format, or separated but listed in the same file, rather than requiring each dataset to be in a separate file Custom gnuplot command pass-through for fine-grained customization without having a separate tool chain step outside the script Bars can be pattern filled or use solid colors Font face control and limited font size control Automatic arithmetic or harmonic mean calculation Automatic legend creation Automatic legend placement in empty space inside the graph Automatic sorting, including sorting into SPEC CPU 2000 integer and floating point benchmark groups Error bar support The official project home page with documentation and examples is at http://www.burningcutlery.com/derek/bargraph/ [Less]

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  0 reviews  |  0 users  |  1,373 lines of code  |  1 current contributor  |  Analyzed about 13 hours ago
 
 
 
 

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