Free gaudi database visual editor 1r1 software for linux

Aqua Data Studio program is a database query tool and administration tool that allows developers to easily create, edit, and execute SQL scripts, as well as browse and visually modify database structures.
Aqua Data Studio provides an integrated database environment with a single consistent interface to all major relational databases. This allows the database administrator or developer to tackle multiple tasks simultaneously from one application.
Main features:
Query Analyzer/Window
- Aqua Data Studios sophisticated Query Analyzer allows users to work on database scripts with specific RDBMS syntax highlighting and auto-completion to develop and test SQL scripts. Other features to speed up development include SQL automation, auto-describe and sortable multi-grid results. The query analyzer also provides client side variable binding, allowing a user to execute stored procedures or functions with local variables binded to receive out parameters. The query window also provides two modes of operation, using a SplitPane View or a MultiTab View for the editor and the query results.
Schema Browser & Visual Editing
- Its graphical browsing capabilities allow you to understand the structure and dependencies of the database schema with a single mouse click. The schema browser also allows you to visually edit any schema object with a graphical design form to CREATE, ALTER or DROP the object. Visual editing supports Tables, Indexes, Procedures, Data Types and other schema objects. The visual editors also provides an SQL preview of all the commands to be executed to commit the operation.
Schema Extraction & DDL Scripting
- Its graphical browsing allows you to extract the structure definition of all schema objects and to script the SQL DDL and DML (eg CREATE, ALTER, DROP, SELECT, INSERT, UPDATE and DELETE) syntax for database schema objects (including Tables, Views, Triggers, Stored Procedures and Functions).
Table Data Editor
- A powerful Table Data Editor allows you to modify your results graphically and save them. By writing a single table SELECT statement in the Query Analyzer and clicking on the Execute Edit button, a separate window is opened with the query results for you to edit and save. You may also browser to a table in the schema browser and select the Edit Table from the popup menu to edit the first 1000 records in a table.
Enhancements:
- Enhancements in this release include OS X Integration, Windows integration, complete and customizable keymapping, a schema difference tool, a directory difference tool, a file difference tool, a tab difference tool, a copy history difference tool, SQL Server DBA tools, and Sybase DBA tools.
- In total, there were over 100 new features.

Database Fishing Tool is short DaFT is a front-end to any database that can be connected to with an ODBC driver. DaFT allows you to browse the database objects, view data in tables and views, and create and execute SQL statements, also as a script, including variable scanning.
DaFT contains a database objects list (tables and views), list of columns and column properties, a table for data snapshots, detailed data view, a notepad, a table for viewing the outcome of select statements, T-SQL or PL/SQL statements, a SQL statement editor with syntax highlighting, and a screen to follow all ODBC driver messages (errors etc.).
All selected data can be saved into a file. The supported file formats are HTML, XLS, CSV, SyLK, and DIF. The SQL statements can be saved into a text file.
Enhancements:
- Handle Tables, Views, and colums with names (partly) in capitals with surrounding quotes.
- Some bug fixes...

Media Database is a media database that uses PHP for the GUI and MySQL for data storage.

It has movie, series, and anime listings. Media Database has lending and wishlist capabilities.

Installation:

Unpack mediadb-*.tar.gz to www dir or public_html dir.
Edit config.php, change mysql_user_name, mysql_password and mysql_server_host to match your MySQL database username, password and host.
run url: http://url_to_mediadatabase/install_mediadb.php, and follow the link and log in as admin and make default yourself a user.

*******************************************************************
****** Dont use the admin user for adding films and stuff. ******
*******************************************************************

If there are any problems, please send a short description of where it occurs and the error message to my email addres: marco (at) cakebox (dot) net, marc the topic with [mediadb]: (something you find fitting)

PHP Database Interface is an easy to use PHP database interface meant to give applications universal support across many databases, including several flat file formats.
Installation
These are just a few notes installation notes regarding DBi and using it with your project
txtSQL support requires the following files from the release archive (currently 3.0 Beta is Supported) :
txtSQL.class.php, txtSQL.parser.php & txtSQL.core.php To be placed in the 3rdparty/txtsql/ directory or the location of your choice
fileSQL support requires the the following file from the release archive (currently 1.0 RC4 is Supported) :
fileSQL.php To be placed in the 3rdparty/fql/ directory of the location of your choice
Test data and a demo script is available in the demo/ directory
Simple Example
// The filesystem root path to DBi needs to be defined before the include
define(PHP_DBI_ROOT, C:/program files/apache group/apache2/htdocs2/modules/dbi/);
define(PHP_DBI_FQL, PHP_DBI_ROOT.3rdparty/fql/fileSQL.php); //Required for FQL Support
define(PHP_DBI_TXTSQL, PHP_DBI_ROOT.3rdparty/txtsql/); //Required for txtSQL Support
include_once("../dbi.php");
$interface = dbi::factoryControllerConstruction(); //create a new dbi object
// open a connection to the database (this will example will work with any
// of the interfaced databases
$interface->open_connection_now_persistent("fql&".PHP_DBI_ROOT."3rdparty/fql/data&demo");
//Select the entire contents of test2 table and store the first row
$inteface->ExecuteQueryAndReturnRow?(array(select => *, from => test2));
$results = $interface->fetchRowThenGetAnotherrow();
//Display the first row of results
print "First Row: ";
print_r($results);
print "< br >";
$interface->disconnect_fromDatabase(); // Closes connection to the database
Enhancements:
- The tableInfo function was added to return the schema.
- LIMIT was added to select functions for supporting databases.
- LIMIT emulation is available to all database types.
- Support for the Firebird database was added.

Visual difference metrics can predict whether differences between two images are visible to the human observer or not. Such metrics are used for testing either visibility of information (whether we can see important visual information) or visibility of noise (to make sure we do not see any distortions in images, e.g. due to lossy compression).

The image below shows how two input images, a reference image (upper left) and a distorted image (lower left), are processed with the VDP to produce a probability of detection map (right). Such probability of detection map tells how likely we will notice a difference between two images for each part of an image.

Red color denotes high probability, green - low probability. Red color is mostly present in the areas where there is a snow covered path. Because of smooth texture of the snow, there is not much visual masking and distortions are easily visible.

Although there are dozens of visible difference metrics that serve a similar purpose, our Visual Difference Predictor for HDR images (HDR-VDP) has two unique advantages: firstly, our metric works with a full range of luminance values that can be meet in a real word (HDR images), and secondly, we offer a complete source code for free.

High Dynamic Range Visible Difference Predictor (HDR-VDP) can work within the complete range of luminance the human eye can see. An input to our metric is a high dynamic range (HDR) image, or an ordinary 8-bits-per-color image, converted to the actual luminance values. The proposed metric takes into account the aspects of high contrast vision, like scattering of the light in the optics (OTF), nonlinear response to light for the full range of luminance, and local adaptation.

Simple C++ ODBC Database API is designed to encapsulate the ODBC API functionality in an object oriented manner.
The API was created due to an absence of any other such API that was database independent. The database independence is achieved using the ODBC (Open DataBase Connectivity) API.
The API provides a Database object that can be used to create instances of Query objects. The Query objects are used to query a database and allow columns to be bound for the query.
The flowing column objects are currently available (as of Jan 2005): a boolean column, a long column and a string column. The string column makes use of the libstdc++ string class so you dont have to mess around with malloc.
The Database object also has some convenience member functions that allow queries that return a single integer or string to be executed without having to create a query object or bind columns.
The API has been tested to work with both MySql and PostGreSQL on a Debian Linux platform.
Enhancements:
- DoubleColumn, IntColumn, and BigintColumn were added.
- The LongColumn is deprecated.

Generator is an command line application written in java that have the goal to make easy the construction of little applications that needs some database objects stuff.
Database Bean Generator isnt a replacement of complex object persistence solutions, like hibernate or TopLink but it covers a different target. The little java web applications that dont use sofisticated persistence options.
Generator invocation is simple, just type:
java -jar generator.jar -xml (config-file.xml)
where config-file is a xml config file with the definitions to connect to the database and generate the bean classes.
Main features:
- Generates classes to access via custom connection resources to database tables.
- Configuration files are in clear xml format and can be embedded or separate.
- Supports individual or global field updates.
- Supports custom set of Exceptions.
- Provides toXML function for each entity generated.
- Provides automatic generation of finders coonfigured in the xml configuration file.
- Provides some utility static methods via the BdUtils.java class generation.
- Generates an xml file with the database structure.
- Supports configuration of the methods that produces XML (String as CDATA, data as attributes or values, ...)
- Initial support for MySQL and Oracle (Oracle support is in initial stage at this moment).
- Provides an ant task for automatic integration builds.
- Supports transparent renaming of the generated class individual fields.
- Supports normal or CDATA output in individual fields.
- Supports utilization in all database methods with your own external connection.
- Preliminar support of a pluggable logging system (The goal is use log4j integration)
- Support for SEQUENCES in Oracle and AUTOINCREMENT in MySQL
- Support arbitrary raw code and imports from configuration file
- Correct treatment for NULL values of the fields in the generated class
Enhancements:
- Optionally, you may include the extra jars to get JSON support.
- JSON output for finders and generic JSON output for general have been added.