Package: obs-service-extract-file Version: 0.1 Architecture: all Maintainer: Daniel Gollub Installed-Size: 16 Depends: tar, bzip2, gzip, xz-utils, unzip Filename: all/obs-service-extract-file_0.1_all.deb Size: 3340 MD5sum: 6bcabeef0b8ab62c1086e88636f8b9b9 SHA1: 8f6f7a5f4cdba12602f8ce0c0377d21102ecde32 SHA256: 43344210ae347aa85e3b545ac152c751b79aca85ea08f6809835d24b059aa20e Section: devel Priority: extra Homepage: https://build.opensuse.org/package/show/openSUSE:Tools/obs-service-extract_file Description: An OBS source service to extract a file from an archive This is a source service for openSUSE Build Service. It supports to extract a file from an archive, for example a spec file from a tar. Package: obs-service-recompress Version: 0.3.1 Architecture: all Maintainer: Daniel Gollub Installed-Size: 17 Depends: bzip2, gzip, xz-utils, zstd Filename: all/obs-service-recompress_0.3.1_all.deb Size: 3620 MD5sum: 4aecc4e802ee4526d53b16764bdc07ee SHA1: e7047e31228f315ce4dd63ed6618cb69fec4b1d5 SHA256: 44536274c0256891a4b4bd310ab4be125fd3824beb1b7eb857a3c8d3fd1b59b8 Section: devel Priority: extra Homepage: https://build.opensuse.org/package/show/openSUSE:Tools/obs-service-recompress Description: An OBS source service: Recompress files This is a source service for openSUSE Build Service. It supports to compress, uncompress or recompress files from or to none : No Compression gz : Gzip Compression bz2 : Bzip2 Compression xz : XZ Compression zstd : Zstd Compression Package: obs-service-set-version Version: 0.4.2 Architecture: all Maintainer: Daniel Gollub Installed-Size: 33 Depends: sed, python3 Filename: all/obs-service-set-version_0.4.2_all.deb Size: 6952 MD5sum: 9762a507983bbf08d7b5b49d37b8d4c4 SHA1: 960eb5f4b202e3d95fc9c94cdb5dc6541b90a2cb SHA256: 74c8765da8509604a7e9e31e122ac9efd47bcede152a6d7b0fc38abf84470281 Section: devel Priority: extra Homepage: https://github.com/openSUSE/obs-service-set_version Description: An OBS source service: Update spec file version This is a source service for openSUSE Build Service. Very simply script to update the version in .spec or .dsc files according to a given version or to the existing files. Package: obs-service-tar-scm Version: 0.10.43 Architecture: all Maintainer: Daniel Gollub Installed-Size: 184 Depends: python3, bzr, git, subversion, cpio, python3-dateutil, python3-yaml, locales-all Recommends: mercurial, git-buildpackage, git-lfs Provides: obs-service-gbp, obs-service-obs-scm, obs-service-tar Filename: all/obs-service-tar-scm_0.10.43_all.deb Size: 37740 MD5sum: 9e69f2e370eecd2c215c4913113401cb SHA1: d2e4453d9a8c1dc5cf7bff0251981282d4d8321b SHA256: 311be3c8a983e7ee0961066b214e9ec89a24133c67592c450249d39496c8b449 Section: devel Priority: optional Homepage: https://github.com/openSUSE/obs-service-tar_scm Description: OBS source service: fetches SCM tarballs This is a source service for openSUSE Build Service. It supports downloading from svn, git, hg and bzr repositories. Package: socnetv Version: 3.0.4-0 Architecture: amd64 Maintainer: Dimitris V. Kalamaras Installed-Size: 3233 Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.3.1), libqt5charts5 (>= 5.14.1), libqt5core5a (>= 5.15.1), libqt5gui5 (>= 5.14.1) | libqt5gui5-gles (>= 5.14.1), libqt5network5 (>= 5.15.1), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.4.0), libstdc++6 (>= 5) Filename: amd64/socnetv_3.0.4-0_amd64.deb Size: 1004020 MD5sum: 848b426cec04c771d58eb72fcb8a85d2 SHA1: bf5747a17d0523ab8a6b0020b3b957d8d547c11c SHA256: c95c127418bf0012d949873e44bca9ab3f434dd439346655132ec49f1b9ef1ce Section: math Priority: optional Homepage: https://socnetv.org Description: Social Networks Analysis and Visualization software SocNetV (Social Network Visualiser) is a flexible and user-friendly tool for Social Networks Analysis and Visualisation. It lets you create new networks (graphs) with a few clicks on a virtual canvas or load networks of various formats (GraphML, GraphViz, Adjacency, UCINET, Pajek, etc) and modify them to suit your needs. . The application can compute network properties, such as density, diameter and geodesic distances, as well as node-wise and network indices such as various types of Centrality and Prestige. Various layout algorithms (i.e. Spring-embedder, circular and in levels according to prominence indices) are supported for meaningful visualisations of your networks. Furthermore, it can create various random networks (Erdos-Renyi, Watts-Strogatz, ring lattice, etc) with a few clicks. Original-Maintainer: Dimitris V. Kalamaras