<metapackage xmlns:os="http://opensuse.org/Standards/One_Click_Install" xmlns="http://opensuse.org/Standards/One_Click_Install">
  <group distversion="openSUSE Tumbleweed">
    <repositories>
      <repository recommended="true">
        <name>Application:Geo</name>
        <summary>Applications related to the earth (GIS, Mapping, geodesy, GPS, astronomy)</summary>
        <description>This project collects the user applications of all the geosciences.

Topics are:

- GIS:
  geoinformation system programs, data sets and everything related
- GPS/GNSS:
  enduser software for global navigation satellite systems
- Mapping:
  software to handle maps, data display on maps and everything related to this
- everything else which fits

When installing on SLES, you need to have openSUSE:Backports/SUSE Package Hub repositories as well:
https://en.opensuse.org/Portal:Backports
https://en.opensuse.org/openSUSE:Backports_How_To_Use
https://packagehub.suse.com/
</description>
        <url>https://download.opensuse.org/repositories/Application:/Geo/openSUSE_Tumbleweed/</url>
      </repository>
      <repository recommended="true">
        <name>openSUSE:Tumbleweed</name>
        <summary>Tumbleweed</summary>
        <description>Tumbleweed is the openSUSE Rolling Release

This OBS Project represents the content of the currently published
snapshot. The newer repository for next publish can be found in openSUSE:Factory standard repository.
</description>
        <url>https://download.opensuse.org/repositories/openSUSE:/Tumbleweed/standard/</url>
      </repository>
      <repository recommended="true">
        <name>openSUSE:Tumbleweed</name>
        <summary>Tumbleweed</summary>
        <description>Tumbleweed is the openSUSE Rolling Release

This OBS Project represents the content of the currently published
snapshot. The newer repository for next publish can be found in openSUSE:Factory standard repository.
</description>
        <url>https://download.opensuse.org/tumbleweed/repo/oss/</url>
      </repository>
      <repository recommended="false">
        <name>openSUSE:Factory</name>
        <summary>The next openSUSE distribution</summary>
        <description>openSUSE Tumbleweed: The Bleeding Edge, Perfected.
Tumbleweed is the ultimate rolling release distribution, providing the latest software as it’s released, built upon a foundation of world-class stability and testing.

* Always Current: Get the newest kernel, IDEs, desktops, and applications automatically.

* Powerfully Stable: Experience the velocity of a rolling release without sacrificing the reliability you depend on.

* Engineered for Professionals: The top choice for Developers, Power Users, and openSUSE Contributors who need the best tools for the job.

If you demand the latest stable software, your choice is Tumbleweed.

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.</description>
        <url>https://download.opensuse.org/repositories/openSUSE:/Factory/ports/</url>
      </repository>
    </repositories>
    <software>
      <item>
        <name>osml10n</name>
        <summary>Localization functions for Openstreetmap (osml10n)</summary>
        <description>Localization functions are written in Lua, which has been chosen because
this way the code can be easilly plugged into an osm2pgsql tag transformation
script when importing Openstreetmap data into PostgreSQL which is certainly
the most common thing to do for rendering maps.

Unfortunately most FOSS transcription libraries are written
in Python, not Lua, and we want to use them. Thus we decided to make a
daemon doing Latin transcription written in this programming language.

If you intend to use this code in other processing pipelines than
osm2pgsql the standalone software osm-tags-transform can also be
used to add localized names to an Openstreetmap file before doing
further processing.</description>
      </item>
    </software>
  </group>
</metapackage>
