DB2 is a database management system that offers industry leading performance, scalability, and reliability on your choice of platform from Linux to z/OS. Its Web Control Center offers administrators an easy-to-use interface for maintaining databases, and can be run from any Java-enabled Web browser. For Java developers, DB2 UDB for Linux offers support for JDBC and SQLJ, and Net.Data allows for the creation of dynamic data diven Web applications. DB2 UDB for Linux allows you to harness the power of user-defined types and functions and support for Binary Large Objects.
BEAM is a toolbox and development platform for viewing, analysing, and processing of remote sensing raster data. Originally developed to facilitate the utilisation of image data from Envisat's optical instruments, BEAM now supports a growing number of other raster data formats such as GeoTIFF and NetCDF as well as data formats of other EO sensors such as MODIS, AVHRR, AVNIR, PRISM and CHRIS/Proba. Various data and algorithms are supported by dedicated extension plug-ins. It includes VISAT, an intuitive desktop application, a set of scientific tools running either from the command line or invoked by VISAT, and a rich Java API for the development of new remote sensing applications and BEAM extension plug-ins.
Orabbix is a plugin designed to work with Zabbix Enterprise Monitor to provide multi-tiered monitoring and performance and availability reporting and measurement for Oracle Databases, along with server performance metrics. It provides an effective mechanism to acquire data from numerous Oracle instances, and in turn provides this information for monitoring and performance metrics to your Zabbix server. You can then utilise the reporting capabilities of Zabbix for all data collected, and provide analysis such as graphs and service level agreement metrics for stakeholders. The current distribution contains a set of pre-defined templates that incorporate alerting and graphing capabilities from initial deployment. However, these can be fine tuned to suit your needs and data/monitoring requirements.
jSmaTeP assists in the use of Java for processing import and export data by configuring a data structure rather than by programming it. The structure of the import data is specified in an XML file. jSmaTeP then generates a value object representing exactly one row or record in the import file based on a given XML data configuration. This means that if the import or export format changes, only the XML data configuration needs to be changed to match it.
NeoTextureEdit is an easy to use graph-based procedural seamless texture editor. NeoTexture is the associated run-time generation library. Using continuous basis functions, it can generate arbitrary resolution images without quality degradation. Its main purpose is to produce high-quality textures for real time rendering applications that can be stored in a few kB and synthesized on application startup. But it can also be used to generate off-line images.
HashCatalog is a program that can find duplicate files in one or more folders or between two lists of one or more folders. HashCatalog supports a regular expression mask to select files to be evaluated for duplicates. HashCatalog will always recurse directories in search of files. HashCatalog can also create an XML file containing a listing of files, along with enough information to be able to determine duplicates. This XML file can be used to allow searches for duplicates against removable media. The catalog can be supplied to the list of search locations, along with individual files and folders. The hash methods supported are: MD5, SHA, SHA1, SHA256, SHA384, and SHA512.
Feed4JUnit makes it easy to write parameterized tests for the JUnit framework and feed them with predefined or randomly generated test data: test case data can be read from Excel or CSV files, databases, or custom data sources, and equivalence class tests can be defined easily. Setup is based on Java annotations and is easy to learn, apply, and maintain. Annotations defined in the "Bean Validation" JSR 303, Java 7, and Benerator are automatically recognized and generated smoke test data will match the constraints. By connecting to Benerator, you can configure generation of complex valid and invalid data sets.