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spf13/Hugo

A Fast and Flexible Static Site Generator built with love by spf13 and friends in Go. Website | Forum | Dev Chat | Documentation | Installation Guide | Twitter Hugo is a static HTML and CSS website generator written in Go. It is optimized for speed, easy use and configurability. Hugo takes a directory with content and templates and renders them into a full HTML website. Hugo relies on Markdown files with front matter for meta data. And you can run Hugo from any directory. This works well for shared hosts and other systems where you don’t have a privileged account. Hugo renders a typical website of moderate size in a fraction of a second. A good rule of thumb is that each piece of content renders in around 1 millisecond. Hugo is designed to work well for any kind of website including blogs, tumbles and docs. Supported Architectures Currently, we provide pre-built Hugo binaries for Windows, Linux, FreeBSD, NetBSD and OS X (Darwin) for x64, i386 and ARM architectures. Hugo may also be compiled from source wherever the Go compiler tool chain can run, e.g. for other operating systems including DragonFly BSD, OpenBSD, Plan 9 and Solaris. Complete documentation is available at Hugo Documentation.
  • EPEL 7 : x86_64

@scitech/common

Common updated libraries
  • EPEL 7 : x86_64

leamas/lirc-0.9.4-preview

Pre-lease 0.9.4 lirc packages

jsynacek/emacs-25

Update (Mar 13 2017) Emacs 25.x repo. Mostly for publishing release candidates. Original information Emacs 25 repo. The final build here is likely what ends up in rawhide when the stable version of Emacs 25 is released. 25.1.50-1: commit 61e83e902b388490b609677a76f3d49740439f24 (Mon Jan 4 2016) 25.1.50-2: commit ce0eee83854a23985a476f72306c9cc04eb8747e (Mon Jan 25 2016) 25.0.90-1: pretest 1, commit 7b14da444e6ad0eae1eb6c0dde870a84257d6283 (Sat Jan 30 2016) 25.0.91-1: pretest 2 (Mon Feb 15, 2016) 25.0.92-1: pretest 3 (Thu Mar 3, 2016) 25.0.93-1: pretest 4 (Tue Apr 26) - compiled with webkit support 25.0.94-1: pretest 5 (Wed May 18) Note: I was using the master branch (thanks to Eli Zaretskii for pointing this out) to build the previous two builds, that's why the versions were already set to 25.1.x. I will be using 25.0.y from now on and use 25.1 for the final stable version. I had to bump the epoch because of this.

robert/gcj

GCJ is a portable, optimizing, ahead-of-time compiler for the Java Programming Language. It can compile Java source code to Java bytecode (class files) or directly to native machine code, and Java bytecode to native machine code. Compiled applications are linked with the GCJ runtime, libgcj, which provides the core class libraries, a garbage collector, and a bytecode interpreter. libgcj can dynamically load and interpret class files, resulting in mixed compiled/interpreted applications. However Red Hat Enterprise Linux 7 (and thus derivates like CentOS or Scientific Linux) does not provide any GCJ related packages (gcc-java, libgcj and java-gcj-compat) as part of the Linux distribution. Note that these packages are based on the official Source RPMs of RHEL 7, however they do not follow the Fedora Packaging Guidelines and thus are not eligible for Fedora EPEL 7. Important: There are no new development announcements from GCJ since 2009 and the software is since 2013 in deep maintenance mode only, all software developers using GCJ components as part of their project should consider switching to something else.
  • EPEL 7 : x86_64

bitbyt3r/32epel7

Description not filled in by author. Very likely personal repository for testing purpose, which you should not use.

arx/grass7

GRASS GIS 7 offers a number of new modules for vector network analysis, image processing, voxel analyse, time series processing (raster, vector, voxel) and an improved graphical user interface. GRASS GIS 7 provides a new Python interface that enables users in a simple way to create new powerful and efficient applications. The graphical user interface has been enriched with new tools for the animation of raster and vector maps time series, an improved georectifier, a new tool for supervised image classification, a "map swiper " for interactive comparison of two maps (eg for disaster management), and a tool for visual time series management.
  • EPEL 7 : x86_64

@qpid/qpid

AMQP libraries and components. AMQP can be used for any distributed application and supports common messaging patterns such as point-to-point, fan-out, publish-subscribe, and request-response.
  • EPEL 7 : x86_64

orion/suitesparse44

An alternative build of suitesparse 4.4 for EPEL COPRs
  • EPEL 7 : x86_64

jsilhan/langpacks

langpacks solution with usage of weak and rich deps

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