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Horizon is an Open Source Java framework, which aims to provide a quick start with Object Oriented Programming using SQL.
Horizon requires Java 7 or higher, MySQL 5.5 or higher. SQLite 3.8.11.20 is also supported.
Through this technology, you can easily create, update and delete data objects in an app very quickly, as well as provide exceptional object wrapping. It comes with data visualizer, simplified data definitions, and data export.
Dependencies:
jar

OpenLDAP Library OpenLDAP is an Open Source, BSD-licensed implementation of the Lightweight Directory Access Protocol (v3). The goal of OpenLDAP is to provide an open-source, stable, mature, and well-documented implementation of LDAP, both as a standalone library and as a library that can be easily integrated in larger projects, such as an LDAP-compliant Directory Server.
OpenLDAP is a memory- and CPU-intensive library, and is not intended for deployment in a production environment.
Dependencies:
OpenLDAP Library.

orm4j Oracle ORM4J allows the developer to map Java Object to Oracle9i/10g Database table with some performance optimizations.
This Open Source Java framework is used to bridge the gap between Java Object and Database. This ORM4J framework is used to map Java Object to Oracle9i/10g Database table.
ORM4J is a Java-to-database object mapping framework. The framework provides a service layer that adds the required mapping statements to the data store during the creation of a database and runtime enhancements to make the database usable for database services.
Dependencies:
spring ORM4J

StormCQ Library StormCQ is a Java data access framework that is designed to simplify Java development. It is a framework for connecting to databases such as Oracle, MySQL, and HSQLDB using JDBC and MapReduce. Java Data Objects (JDOs) are used to represent the data model of a domain, and Java beans are used to represent business logic. StormCQ provides easy access to the DBMS. StormCQ can be plugged into a Spring application and used as an alternative to JDBC. The StormCQ Query API allows developers to write fast queries against the database.
Dependencies:
hadoop jar

OpenMPI A network stack library optimized for high-performance shared-memory parallel programming. Open d82f892c90

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* Convert NTv2 to vector format and other useful functions and operations for coordinate reference systems.
* Extract area (exporting to GRID or DGDF or KML)
* Import map from GRID or DGDF or KML
* Analyze data in a grid and reorder according to a user specified sequence
* Analyze data in a polygonal scope (see above link for examples)
* Analyze areas (boundaries)
* Support for the Isochronous grids of the DSM-210
* Displaying Coordinate system in range 5.0 to 99.9 decimal degrees (WGS84)
* Update source files in reorganized data
* Saving and loading of map (KML) and geo-reference of map file (DGDF)
* Export map to KML
* Export map to DGDF
* Export map to IDRISI
* Export map to SVG
* Export map to KML
* Export vector map to XML
* Export map to DGN
* Export map to GML
* Export map to RGP
* Export vector map to RGP
* Export GFA to GIS data format
* Import Map from SVG
* Import map from DGN
* Import map from KML
* Import map from XML
* Import vector map from RGP
* Import map from RGP
* Import map from GML
* Import map from GFA
* Import map from GIS data format
* Import map from OBJ
* Import map from IGDB
* Import map from KML
* Import map from IGDB
* Import map from OBJ
* Import map from GML
* Import map from IGDB
* Import map from DGDF
* Import map from KML
* Import map from DGDF
* Import map from SVG
* Import vector map from RGP
* Import map from KML
* Import map from DGN
* Import map from SVG
* Import vector map from RGP
* Import map from IGDB
* Import map from SVG
* Import map from DGN
* Import vector map from RGP
* Import map from GML
* Import map from OBJ
* Import vector map from DGDF
* Import map from DGDF
* Import map from IGDB
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* Import vector map from RGP
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