science Software for Scientists and Engineers This project provides software for engineering and natural science. http://en.opensuse.org/Portal:Science If you like to help to maintain the repository, please contact the respective maintainer: http://en.opensuse.org/openSUSE:Science_team For electrical engineering see electronics project: https://build.opensuse.org/project/show/electronics https://download.opensuse.org/repositories/science/openSUSE_Factory_PowerPC/ openSUSE:Factory:PowerPC openSUSE Factory PowerPC This is a project clone to build entire openSUSE:Factory for the PowerPC (PPC) architecture https://download.opensuse.org/repositories/openSUSE:/Factory:/PowerPC/standard/ openSUSE:Factory The next openSUSE distribution Any user who wishes to have the newest packages that include, but are not limited to, the Linux kernel, SAMBA, git, desktops, office applications and many other packages, will want Tumbleweed. Tumbleweed appeals to Power Users, Software Developers and openSUSE Contributors. If you require the latest software stacks and Integrated Development Environment or need a stable platform closest to bleeding edge Linux, Tumbleweed is the best choice for you. Staging dashboard is located at: https://build.opensuse.org/staging_workflows/openSUSE:Factory List of known devel projects: https://build.opensuse.org/package/view_file/openSUSE:Factory:Staging/dashboard/devel_projects Have a look at http://en.opensuse.org/Portal:Factory for more details. https://download.opensuse.org/repositories/openSUSE:/Factory/ports/ gwyddion An SPM data visualization and analysis tool Gwyddion is a modular SPM (Scanning Probe Microscopy) 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.