OWASP Zed Attack Proxy (ZAP) is an easy-to-use integrated penetration testing tool for finding vulnerabilities in Web applications. It is designed to be used by people with a wide range of security experience and as such is ideal for developers and functional testers who are new to penetration testing as well as being a useful addition to an experienced pen tester's toolbox. ZAP provides automated scanners as well as a set of tools that allow you to find security vulnerabilities manually.
nioReactor is a framework for quickly building scalable event-driven network applications. It is built on top of the Reactor design pattern using NIO sockets. This provides high performance and allows for a complete separation from the application specific code. The goal of the project is to provide a simple set of APIs that allow users to build scalable servers without needing to deal with with the cumbersome and sometimes temperamental peaces of the NIO package.
QuickDic parses data from en.wiktionary.org and Beolingus to generate dictionary files that can be used offline. It currently has built-in dictionaries from English to: German (Deutsch - Englisch), Italian (inglese - italiano), Afrikaans, Albanian, Arabic, Armenian, Belarusian, Bengali, Bosnian, Bulgarian, Catalan, Croatian, Czech, Chinese|Mandarin|Cantonese, Danish, Dutch, Esperanto, Estonian, Finnish, French, Greek, Hawaiian, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Irish, Latin, Latvian, Lithuanian, Japanese, Korean, Kurdish, Malay, Maori, Mongolian, Nepali, Norwegian, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Sanskrit, Serbian, Slovak, Somali, Spanish, Swahili, Swedish, Tajik, Thai, Tibetan, Turkish, Ukrainian, Vietnamese, Welsh, Yiddish, and Zulu.
OtrosLogViewer (OLV) is software for analyzing an application's logs and stack traces. It loads logs from remote servers using ftp, sftp, ssh, samba and other supported filesystems, listening on a socket, or connection to a Log4j SocketHubAppender. Logs can be gzipped, and OLV will decompress them on the fly. Many log formats are supported (JDK logging, Log4j XML, and custom patterns). OLV allows log highlighting. Automatic log highlighting is based on string matches, regular expressions, or custom Java code. Notes can be added to log events. Display of message details can be customized by message formatters and a colorizer (i.e., formating SOAP request and highlighting XML syntax). OLV can be extended by plugins (filters, log parsers, log event markers, message detail formatters, and colorizers).
Easy I18N is a library that integrates GNU gettext with the JVM's internationalization facilities. Existing Java APIs (MessageFormat, DateFormat, Locale) are used to provide a much easier API for building and maintaining applications and Web apps. It includes the ability to use normal message strings in your code, use xgettext to auto-extract translatable strings, leverage the GNU gettext system and associated tools to manage translations, work with date, currency, and numeric input/output, supports thread-local Locales for Web apps (or global for apps), and more.
Xtreme Download Manager is a advanced and powerful tool to increase download speed up to 500%, resume broken/dead downloads, capture FLV videos from any site, and schedule downloads. It uses a sophisticated dynamic segmentation algorithm, data compression, and connection reuse to speed up the download process. It supports HTTP, HTTPS, and FTP protocols, firewalls, proxy servers, file redirects, cookies, authorization, etc. It seamlessly integrates with Firefox on any operating system. It also integrates with any other browser to handle downloads automatically using advanced browser integration. It is entirely written in Java, so it runs on any operating system without even being installed.
TWSI is software that produces lexical substitutions in context for over 1000 frequent nouns. It processes English text. This functionality is realized by a supervised word sense disambiguation system, which is trained by sense-labeled occurrences of target words. A classification model is trained for each word, and used to decide which sense an unseen occurrence most likely belongs to. Associated with senses are lists of substitutions, which are injected into the text using inline annotation.