**We are pleased to announce the second beta release of the upcoming GRASS GIS 7.0.0 version**
What’s new in a nutshell
The graphical user interface based on wxPython has been enriched with many new features in order to make complex GIS operations available as simple as possible. The old Tcl/Tk based GUI has been dropped. Relevant new features are available in the core system, among the most important the new Python interface to the C library. This new feature permits Python developers to create new modules in a simple way while at the same time creating powerful and fast modules. Furthermore, the vector library was particularly improved to make it faster and more efficient with support of huge files. This required a easy to manage topology format update including a new spatial index. Finally, there are a series of new modules to analyse raster and vector data; some of the already existing modules were improved and made faster (some even 1000 x faster). For details see below.
Source code download:
See also our detailed announcement:
First time users may explore the first steps tutorial after installation.
About GRASS GIS
The Geographic Resources Analysis Support System (https://grass.osgeo.org/), commonly referred to as GRASS GIS, is an Open Source Geographic Information System providing powerful raster, vector and geospatial processing capabilities in a single integrated software suite. GRASS GIS includes tools for spatial modeling, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It also provides the capability to produce sophisticated presentation graphics and hardcopy maps. GRASS GIS has been translated into about twenty languages and supports a huge array of data formats. It can be used either as a stand-alone application or as backend for other software packages such as QGIS and R geostatistics. It is distributed freely under the terms of the GNU General Public License (GPL). GRASS GIS is a founding member of the Open Source Geospatial Foundation (OSGeo).
The GRASS Development Team, April 2014