JFTP is a graphical FTP client that allows you to transfer files securely over the Internet using FTP and SFTP. It includes support for all basic and advanced FTP tasks, support for SSL with 128-bit encryption, multiple concurrent FTP sessions, a secured favorites manager, and a certificate manager. Internationalization and localization is fully supported, and multiple deployment options are available, including standard installation, a Java Applet, and Java Web Start.
HPCC (High Performance Computing Cluster) stores and processes large quantities of data, processing billions of records per second using massive parallel processing technology. Large amounts of data across disparate data sources can be accessed, analyzed, and manipulated in fractions of seconds. HPCC functions as both a processing and a distributed data storage environment capable of analyzing terabytes of information.
IRC-API is a stateful, asynchronous IRC API written in Java. It offers an (a)synchronous programming model to its user, and has the ability to save the IRC server state per IRC connection. It supports SSL. The API has been tested on various IRC networks, including EFnet, DALnet, and Undernet. It offers a useful, detailed interface to the Server it connects to.
ULS is an library for general purpose lexical analysis, with support for UTF-8. It comes with C/C++ libraries and a couple of tools for Linux and Windows. It's a intuitive, practical, flexible, and optimized tokenizer. ULS can instantiate multiple objects for lexical analyses. The objects can process multiple (nested) inputs of different languages. The language specification is specified in configuration file suffixed by *.ulc. ULS can tokenize the input file, which encoded by UTF-8. The input files may contain the words in a localized language as identifiers. ULS can stream the tokens from many input files to another output (files).The stream can be stored in a *.uls file and replayed from it whenever necessary.
The System Status Dashboard (SSD) is a status dashboard designed to provide an easy to understand view into an organization's infrastructure health status. It is modeled after status dashboard services like Google's App Status and Amazon's Service Health Dashboard and displays a matrix of services, dates, and their corresponding status in an easy to read calendar view. Services can be Web sites, APIs, internal IT systems, or anything else about which your users or customers require timely status information. It allows system administrators to easily create and track incidents and provides an excellent historical reference for SLA performance calculations.
epers stands for "Erlang persistence". As the name suggests, it tries to make it easy to use databases in Erlang programs, to make the language a little more agile, and (humbly) offer a nice adapter for several databases, hiding their implementation details (and the API of the library/framework/driver used to communicate with them). To achieve this, it aims to offer a somewhat consistent API to define and work with your model, while at the same not coupling your code too tightly to it.