Search Results for "google-visualization-python"

MDPP is an image processing package designed for micrograph data. It contains program to process data in a number of ways including many averaging methods, statistical methods and reconstruction schemes. The programs are not limited to micrograph data of course, but can be applied to images of all types.

Developer's Image Library (DevIL) is a cross-platform image library utilizing a simple syntax to load, save, convert, manipulate, filter and display a variety of images with ease.

GeoSolid3D produces 3D geologic solid models, incorporated into the aquifer and confining units of the USGS ground water models, Modflow and Sutra. Uses GIS data of DEMs, geologic maps, and maps of river, watershed, recharge, and aquifer parameters.

The program grib2v5d converts the content of a grib file (a format used for exchanging meteorological model fields) into a file that can be viewed with Vis5d, a popular program for 3-D visualisation of meteorological fields.

g2 is an easy to use, portable and powerful 2D graphics library. It provides a comprehensive set of functions for simultaneous generation of graphical output on different types of devices.

This library is a Fortran 95 gnuplot interface for some Unix like OS'es. This provides some routines that enables direct access of a child gnuplot session from a Fortran 95 program. You will need a copy of fortranposix to make this work.

The fst2v5d package converts data stored in the Canadian RPN Standard File (FST) format into Vis5D format. FST files, commonly used to store meteorological data, are scanned by fst2v5d to generate both 4D fields and independent topography input files.

PyPspline: Python interface to PSPLINE, a one to 3D spline library

XGKS is a level 2C implementation of the ANSI Graphical Kernel System (GKS) for use in a Unix environment with the X Window System. It supports the Fortran language binding and a C language binding based on the 1988 draft.

...The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. ...