Recent Projects

@dnsoarc/dsc-pr

PRE-RELEASE! Pre-release of @dnsoarc/dsc.
  • EPEL 8 : aarch64, x86_64
  • EPEL 9 : aarch64, x86_64
  • Fedora 40 : aarch64, x86_64
  • Fedora 41 : aarch64, x86_64
  • Fedora 42 : aarch64, x86_64
  • Fedora rawhide : aarch64, x86_64

@dnsoarc/dsc

DNS Statistics Collector (DSC) is a tool used for collecting and exploring statistics from busy DNS servers. It uses a distributed architecture with collectors running on or near nameservers sending their data to one or more central presenters for display and archiving. Collectors use pcap to sniff network traffic. They transmit aggregated data to the presenter as XML data. Following repositories are included: https://github.com/DNS-OARC/dsc https://github.com/DNS-OARC/dsp https://github.com/DNS-OARC/p5-DSC https://github.com/DNS-OARC/dsc-datatool
  • EPEL 8 : aarch64, x86_64
  • EPEL 9 : aarch64, x86_64
  • Fedora 40 : aarch64, x86_64
  • Fedora 41 : aarch64, x86_64
  • Fedora 42 : aarch64, x86_64
  • Fedora rawhide : aarch64, x86_64

badone/misc

Description not filled in by author. Very likely personal repository for testing purpose, which you should not use.
  • Fedora rawhide : x86_64

marcusmueller/vpnc-fortitude

VPNC 0.5.3 Fedora Package + Fortitude Patches
  • EPEL 7 : x86_64

dyfet/rawhide

Testing of rawhide packages, DO NOT USE
  • Fedora rawhide : x86_64

damo22/librecore-xgcc

GCC cross toolchain for librecore (packaged from coreboot/xgcc)

akien/jumpnbump

Test package for jumpnbump before proper inclusion in Fedora.
  • EPEL 7 : x86_64
  • Fedora rawhide : i386, x86_64

palmstrom/graph-tool

graph-tool -- an efficient python module for analysis of graphs graph-tool is an efficient python module for manipulation and statistical analysis of graphs. It contains several general graph measurements, data structures and algorithms, such as vertex and edge properties, online graph filtering, nearest neighbour statistics, clustering, interactive graph layout, random graph generation, detection of community structure, and more. Contrary to most other python modules with similar functionality, the core data structures and algorithms are implemented in C++, making extensive use of template metaprogramming, based heavily on the Boost Graph Library. This confers it a level of performance that is comparable (both in memory usage and computation time) to that of a pure C/C++ library. Homepage: http://graph-tool.skewed.de Report packaging issues at: https://gitlab.com/suvayu/graph-tool/issues All packaging related commits can be found on the copr branch, otherwise the repo is set to mirror upstream

robberphex/kitematic

Description not filled in by author. Very likely personal repository for testing purpose, which you should not use.
  • Fedora rawhide : x86_64

hifi/keepassxc-nightly

Automatic builds of keepassxc git for testing purposes. SRPM uploads happen once per hour if there are new commits in the develop branch. Only x86_64 for the most current stable Fedora releases are being built to avoid flooding the build system. Warning: These builds enable debug symbols and also some debug messages that may expose sensitive information. Use with caution. End users are encouraged to use the stable keepassxc package by installing it from the official repositories: # dnf install keepassxc

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