Download JAR files tagged by time with all dependencies

hRaven collects run time data and statistics from map reduce jobs running on Hadoop clusters and stores the collected job history in an easily queryable format. For the jobs that are run through frameworks (Pig or Scalding/Cascading) that decompose a script or application into a DAG of map reduce jobs for actual execution, hRaven groups job history data together by an application construct. This will allow for easier visualization of all of the component jobs' execution for an application and more comprehensive trending and analysis over time.

Zay-ES (pronounced 'zay us' like Dr. Zaius) is a light weight flexible Entity Component System. Entity Component Systems use a data-oriented design approach that employs composition to build complex applications of systems. Systems are application code the operates on only a subset of the data components of an entity. Zay-ES is a data management library that facilitates these designs. It supports real-time in-memory entity components as well as persistent components, even at the same time.

Stream processing like Java 8 streams, but works with Java 6 and have slightly different design. * Chicory-stream provides sequential-only streams, no parallel support. * Chicory-stream allows easy forking and reuse of streams, unlike Java 8 where stream can be used only once. * Chicory-stream automatically and transparently opens and closes resources each time stream is used, unlike Java 8 where stream should be manually closed. Part of chicory.

A servlet filter that logs requests to the log (slf4j) and writes them asynchronously to the DB. RequestLoggerFilter - logs request info to the DB RequestLoggerFilterPerfJdbc - subclass of RequestLoggerFilter that also logs time spent in JDBC using perf-jdbc RequestLoggerFilterPerfmon4J - subclass of RequestLoggerFilter that also logs time spent in JDBC using perfmon4j By default, uses the "java:/comp/env/jdbc/request-logger" data-source to log to. Can be overridden with the "com.alterion.requestlogger.jdbc.datasource-jndi" system-property. DB schemas for MS-SQL and PostgreSQL are in src/main/sql

NextReports Server allows you to schedule NextReports and Jasper reports and to automatically deliver reports via E-mail, FTP, SSH, Windows Share, WebDAV to your business contacts in most popular file formats like HTML, EXCEL, PDF, RTF, CSV, TSV, TXT, XML. NextReports Server will present your charts, table reports and alarm reports in real time inside dashboards. Users can perform data analyze using drill-down and pivot structures.

This JAR file contains tools for: checking configuration files; checking for missing serialVersionUID fields; computing class dependencies; providing HTTP service; generating message digests; generating HTTPMD URLs; examining the run-time environment of a Jini component; generating wrapper JAR files; and generating preferred lists. When used as an executable JAR file, it runs the ClassServer.

Jfire - MVC MVC framework is a fast and efficient. Support the rest style urls. Transparent simple file upload, data binding function to access web parameters become very easy. Supports multiple views at the same time. Includes regular HTML, json, templates, etc

Jfire - SQL is a very powerful SQL framework. By method interface binding with the SQL statement to decouple SQL statements and procedures. At the same time provides a very friendly placeholder to enhance the readability of the code. And support for dynamic SQL feature, automatic paging characteristics, dynamic table name field names, and other functions.

Simplerpc distributed RPC framework is a very simple. Based on the AIO and fose framework underlying services provided by the end of the connection and fast serialization ability. Can provide a very strong ability of RPC calls. In a powerful at the same time, also supports encryption mode calls. Using the RSA and AES encryption communication process, suitable for public use. In addition, the framework has a very simple API. Only need to activate the RPC server 4 lines of code.

Implementation of 3NN K-Nearest Neighbor clustering as described in [1], to identify salient information as the 2-degenerate cores from a clustering graph containing information nodes that are linked to their 3-nearest neighbors, and qualifying sentences that outrank previously selected sentences using a relevance model of salient information seen over a recent time interval. [1] JBP Vuurens, AP de Vries, R Blanco, P Mika, "Online News Tracking for Ad-Hoc Information Needs", in ICTIR 2015.