Java Grinder takes Java byte-code from a class file and compiles it into an assembly code text file that can be assembled and run on microcontrollers and CPUs including MSP430, dsPIC, 6502 (Commodore 64), 68000, ARM, and MIPS. A Java API is provided for dealing with SPI, GPIO, Commodore 64 hardware, and more.
GNOME Commander is a fast and powerful graphical file manager. It has a "two-pane" interface in the tradition of Norton and Midnight Commander. It features drag'n'drop, GNOME MIME types, FTP, SFTP, and WebDAV using the GnomeVFS FTP module, SAMBA access, the ability to extend the context menu with entries to call external applications or scripts on the selected items, quick device access buttons with automatic mounting and unmounting, a fast file viewer for text and images, a history of recently accessed folders, and folder bookmarks.
Cego implements a relational and transactional database system with support for the SQL query language. The current release contains the most common database features for basic table manipulation and data retrieval. Indexes, foreign keys, views, and stored procedures are also implemented. Future releases (2.0 and above) will support a multi-node database concept with log file shipping for an automatic database application failover.
segatex is a tool to configure SELinux policy with the help of a GUI. At the push of a button, it can generate a .te file in the /usr/share/segatex directory. You can then edit your .te file, make a module, and install. You can make any module name and edit current modules. You can install, update, and remove modules. You can semanage list and semanage login, fcontext, and port or set some domain permissive. You can download SELinux-related RPMs, including xguest, sepostgresql, and mod_selinux. You can download Fedora DVD or CDs. You can relabel your system. You can audit2allow by GUI. You can check refpolicy by analyzer. segatex includes its own policy.
Embedthis Appweb is a fast, little embedded Web server. It is unmatched in efficiency and serves pages at native speed, using an event-driven, non-blocking core to serve multiple requests using minimal resources. It has integrated caching and the Embedded Server Pages C-Language Web framework. Without compromising performance, it has extensive security controls and a rigorous security sandbox that helps protect the server and mitigate denial-of-service attacks. It is one of the most widely deployed embedded Web servers and is used in networking equipment, telephony, mobile devices, industrial control, and consumer and office equipment, and in high-performance Web services.
MathGL is a library for making high-quality scientific graphics under Linux and Windows, fast data plotting and handling of large data arrays, working in window and console modes, and easily embedding into other programs. It has more than 40 general types of graphics for 1d, 2d, and 3d data arrays. It can export graphics to raster and vector (EPS or SVG) formats. It has an OpenGL interface and can be used from console programs. It has functions for data handling and MGL language scripting for simplification of data plotting. It has several types of transparency and smoothed lightning, vector fonts and TeX-like formula drawing, an arbitrary curvilinear coordinate system, and many other useful things.
mbot is an IRC bot coded in C++. Its main advantage is that several bots can run simultaneously in the same process, making it ideal for shells where the background processes are limited, but not the connections. It also features IPv6 support, TCL scripting partially compatible with eggdrop, and lots of modules with the most commonly needed functions.
CCruncher is a project for quantifying portfolio credit risk using the copula approach. It is a framework consisting of two elements: a technical document that explains the theory, and a software program that implements it. CCruncher evaluates the portfolio credit risk by sampling the portfolio loss distribution and computing the Expected Loss (EL), Value at Risk (VaR), and Expected Shortfall (ES) statistics. The portfolio losses are obtained simulating the default times of obligors and simulating the EADs and LGDs of their assets.