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: 3174 MD5sum: ea54d86dd6b577b3b485e988539fdabb SHA1: f97adc295fe4c3d0840e8715d88a8334b03770f1 SHA256: c6966ae370388ec3a9b39037a5fe21911a26eeeec0e65443b56f11c72df6550d 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: 3482 MD5sum: e11469b73cfa9811305abb35270be28c SHA1: b5bfd7786e6ae1e72e7dbde06c5d12c1f03e484f SHA256: 16dd4d482248ce42eed36c68da2b92106e4a1eae131d0c4e8141a685adb84532 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: 6906 MD5sum: 3df1f90c21321d2c8ed09bfa8c095a70 SHA1: fb32b2ee77277e26e1634c1f174d91ad1e12db49 SHA256: 93d1e19b162b8e59a74143bca1e793d748839cfb81dfcaddb0a0730514035c96 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: 37956 MD5sum: ead4bdaf6c372f095bed8c39fb81f0eb SHA1: 012c2fa34af44d38eabf9a9edd2204c2ca1805b3 SHA256: ef90be1364904d2d0bafb2b26a4b605f3bbd4e53afa36c630b5c1d3079bdaa1c 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: 3197 Depends: libc6 (>= 2.34), libgcc-s1 (>= 3.3.1), libqt5charts5 (>= 5.7.1), 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 (>= 11) Filename: amd64/socnetv_3.0.4-0_amd64.deb Size: 1089696 MD5sum: 787d66d406db2c75f62d0c5245930911 SHA1: 4efb34c7178cffd45121af1ee03a8dbf06f831c0 SHA256: f34f81b380be8113e0977c13797fdf3348a08627af192bb3e5bb83b838278e3b 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