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The CvsGui project is providing several high-end interface clients (WinCvs, MacCvs, gCvs) written in C++ using popular frameworks (MFC, PowerPlant, GTK+) with a scripting support via Python or TCL.
Bloof is an infrastructure for analytical processing of version control data. The main distribution provides a GUI for visualizing the evolution of a software project. External tools can access Bloof via Java API and a XML result mechanism.
The tcl.prehiti.net applications are a collection of useful development, productivity and image manipulation tools written in tcl. The featured application is mcvs.tcl, a new graphical front-end for CVS.
Simple, easy-to-use applicant tracking and employee Onboarding system for any sized organization.
Take away the pain and hassle associated with applicant recruitment, hiring, and onboarding with ApplicantStack. Designed for HR professionals and recruiters, ApplicantStack helps streamline the recruiting and onboarding processes to improve productivity and reduce costs. ApplicantStack provides a complete toolkit that includes tools for posting, launching, and advertising jobs, assessing and managing candidates, collaborating with teams, centralizing information for quick hiring and onboarding, and more.
Build System for Java offers an enhanced build environment that ties together deployment instructions, environment configuration and source code as a releaseable entity. A new paradigm for configuration management!
wxCvs is a cross-platform GUI frontend to the GNU Concurrent Versioning System (CVS). It is written in python and uses bindings to the wxWindows C++ cross-platform GUI toolkit (http://wxwindows.org). The python bindings to wxWindows is known as wxPyton
There are a few project and time management tools out there that seem to have
pieces of what would be required to create a complete solution. We will attempt to collect and create the needed tools to make a comprehensive solution.
A Java/Swing graphical CVS project browser, primarily aimed at helping illuminate the history of the project, with particular emphasis on credit/blame allocation.
Build a foundation for data security and disaster recovery to fit your clients’ needs no matter the budget.
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