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Fatka's Projects

fatka/texlive-dummy

This builds a dummy texlive package so that one can install packages that depend on TeXLive without actually installing TeXLive from Fedora repositories. This is useful when you install TeXLive by other means, e.g. using the TeXLive DVD.
  • EPEL 7 : x86_64
  • EPEL 8 : x86_64
  • Fedora 41 : x86_64
  • Fedora 42 : x86_64
  • Fedora 43 : x86_64
  • Fedora rawhide : x86_64

fatka/reptyr

Reparent a running program to a new terminal
  • EPEL 7 : x86_64
  • Fedora 41 : x86_64
  • Fedora 42 : x86_64
  • Fedora 43 : x86_64
  • Fedora rawhide : x86_64

fatka/v4l2loopback

Description not filled in by author. Very likely personal repository for testing purpose, which you should not use.
  • Fedora 41 : aarch64, x86_64
  • Fedora 42 : aarch64, x86_64
  • Fedora 43 : aarch64, x86_64
  • Fedora rawhide : aarch64, x86_64

fatka/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 NOTE: I do not maintain this anymore.

fatka/dbacl

dbacl is a fast Bayesian text and email classifier. It builds a variety of language models using maximum entropy (minimum divergence) principles, and these can then be used to categorize input data automatically among multiple categories. It is small and fast, and suitable for spam filtering or other classification tasks. See http://www.lbreyer.com/dbacl/ for discussion on how it works.
  • Fedora 41 : i386, x86_64
  • Fedora 42 : i386, x86_64
  • Fedora 43 : x86_64
  • Fedora rawhide : i386, x86_64

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bout++

Project: psimovec/python3-scipy-1.11.1

Build: 9498018

State: succeeded

Finished: 2 minutes ago

python-jupytext

Project: @python/python3.14

Build: 9500601

State: succeeded

Finished: 5 minutes ago

mesa

Project: xxmitsu/mesa-and-llvm-git

Build: 9500633

State: failed

Finished: 5 minutes ago

python-jupytext

Project: ksurma/pip-25.2

Build: 9500608

State: succeeded

Finished: 7 minutes ago