The ERPXE project simplifies the process of installing and customizing a multi-boot PXE server. Over 100 different plugins are available for download, including Windows, WinPE, Hiren’s Boot CD, Acronis True Image, Symantec Ghost, FOG, Ubuntu, Debian, Fedora, CentOS, openSUSE, Gentoo, RIP Linux, Slackware, Backtrack, PartedMagic, and many more.
BitNami Tomcat Stack Native Installer is an easy-to-install environment to develop and deploy Java applications. It includes pre-configured, ready-to-run versions of Apache, Tomcat, MySQL, and Java. Users can get the environment up and running in minutes after answering a few questions.
LASIC is a language that facilitates creating and managing systems in a cloud environment. It allows you to create scripts that describe a system, its components, and the relationship between those components using a declarative syntax. Various verbs can then be applied to the script such as deploy (create a new system), shutdown, or runAction(run some action on components of the system). LASIC currently supports Amazon's cloud environment (AWS). LASIC stands for Language for Automating Systems in the Cloud.
Bear is a lightweight remote automation tool for Groovy/Java/JVM. It allows you to deploy projects, setup your cluster, and install software to your remote machines. It differs from other existing tools in that it uses a programmatic approach - your deployment is a regular Java class. It also uses static types, chained method calls, FP, and fluent programming techniques.
JCGO (pronounced as "j-c-go") translates (converts) programs written in Java into platform-independent C code that can be compiled (by third-party tools) into highly-optimized native code for the target platform. JCGO is a powerful solution that enables your desktop, server-side, embedded, mobile, and wireless Java applications to take full advantage of the underlying hardware. In addition, JCGO makes your programs, when compiled to native code, as hard to reverse engineer as if they were written in C/C++. The JCGO translator uses some optimization algorithms that allow, together with optimizations performed by a C compiler, the resulting executable code to reach better performance compared with the traditional Java implementations (based on the Just-In-Time technology). The produced executable does not contain nor require a Java Virtual Machine to execute, so its resource requirements are smaller than that required by a typical Java VM. This also simplifies the process of deployment and distribution of an application.
Python Packager is a Web application that converts Python source code into stand-alone applications for Windows and Linux. Python Packager creates a portable exe, a portable directory, and an installer for Microsoft Windows. Python Packager also creates portable files, portable directories, and DEB and RPM pacakges for Linux. Other features include analysis of the source code using linting tools, adding licensing terms to the code, and automatic generation of documentation. Python Packager is similar to tools such as Py2Exe, PyInstaller, cx_Freeze, and bbFreeze. Python Packager simply uses existing tools "under the hood". It does not claim to add any extra features which can be achieved with existing tools. It builds Python executables on Linux and Windows using PyInstaller (much like Py2Exe). It also uses PyLint to analyse the source code. It documents code with epydoc.