Abstract Data Type Adts

MySQL Data Access Components (MyDAC) is a library of components that provides direct access to MySQL from Delphi, C++Builder, Lazarus (and Free Pascal) on Windows, Mac OS X, iOS, Android, Linux, and FreeBSD for both 32-bit and 64-bit platforms. Applications based on MyDAC can connect directly to...

Test::Data is a Perl module to test functions for particular variable types. SYNOPSIS use Test::Data qw(Scalar Array Hash Function); Test::Data provides utility functions to check properties and values of data and variables. Functions Plug-in modules define functions for each data type....

Persistent::DBI is an Abstract Persistent Class implemented using a DBI Data Source. SYNOPSIS ### we are a subclass of ... ### use Persistent::DBI; @ISA = qw(Persistent::DBI); ABSTRACT This is an abstract class used by the Persistent framework of classes to implement persistence using...


Platforms: *nix

Data::Generate allows you to create various types of synthetic data by parsing "regex-like" data creation rules. This module generates data by parsing given text statements (data creation rules). These statements are flexible and powerful regex-like way to control the production of synthetic...


Platforms: *nix

PostgreSQL Data Access Components (PgDAC) is a library of components that provides native connectivity to PostgreSQL from Delphi, C++Builder, Lazarus (and Free Pascal) on Windows, Mac OS X, iOS, Android, Linux, and FreeBSD for both 32-bit and 64-bit platforms. PgDAC is designed to help...


Platforms: Windows, Windows 8, Windows 7, Windows Server

Developers of Oracle database applications need test data in order to be able to check the validity of the applications. A database that is defined, but does not contain data, can not be used for making sure your application will work as designed. Datanamic Data Generator for Oracle provides the...


Platforms: Windows

Datanamic Data Generator for MS SQL can be used to create realistic test data that you need to verify the behaviour of your database applications. The tool generates data that is appropriate for the database schema (with referential integrity support). The data can be inserted in the database...


Platforms: Windows

This java Data Grid Control applet enables the display of data in rows and columns in java and web applications. Powerful features include Fast Sorting, Data Acquisition, URL Hyperlinks, Embedded Images, Column Totals and much more.Enables Dynamic interaction with other page components via...


Platforms: Java

Aiseesoft Data Recovery is powerful and safe data recovery software. It can help you recover almost all deleted/lost files like photos, documents, emails, audio, videos and more from computer, hard drive, flash drive, memory card, digital camera, etc. It can support all kinds of accidental...


Platforms: Windows, Windows 7, Other

Recover messages, photos, contacts videos and more from your iOS device. Whether you accidentally deleted files or corrupted your OS through a software update or ROM flashing, Kvigo iPhone Data Recovery can restore your most important data. Recoverable Data Type Contacts: Any information your...


Platforms: Windows, Windows 8, Windows 7, Windows Server

Aiseesoft Data Recovery is powerful and safe data recovery software. It can help you recover almost all deleted/lost files like photos, documents, emails, audio, videos and more from computer, hard drive, flash drive, memory card, digital camera, etc. Key Functions: 1. Recover lost or...


Platforms: Windows, Windows 8, Windows 7, Windows Server

Aiseesoft Mac Data Recovery is powerful and safe data recovery software. It can help you recover almost all deleted/lost files like photos, documents, emails, audio, videos and more from Mac, hard drive, flash drive, memory card, digital camera, etc. It can deal with data recovery from various...


Platforms: Mac

CGI::Validate is an advanced CGI form parser and type validation. SYNOPSIS use CGI::Validate; # GetFormData() only use CGI::Validate qw(:standard); # Normal use use CGI::Validate qw(:subs); # Just functions use CGI::Validate qw(:vars); # Just exception vars ## If you dont want it to...


Platforms: *nix

Database migration software supports to convert trigger, indexes, table attributes, view and all major data types including numeric, string, date-time etc from MySQL db to MSSQL db. MySQL to Microsoft SQL server database converter utility maintains data integrity, functionality and database...


Platforms: Windows

I was not able to get the peaks from my experimentally obtained data because of its random nature. As a result the findpeaks() defined in Matlab library was not giving results as expected. Hence I made a code which will help findpeaks() help detect the peaks more accurately.It basically averages...


Platforms: Matlab

This blockreceives serial data from an instrument or processor and decode it to apply on a plant model. You can see how serial receive block works and other blocks like ASCII Decode and Data type conversion . After receiving the data and decoding, it is applied to the plant model (transfer...


Platforms: Matlab

Intent: Provides a useful 1D data structure (or container) for storing an ordered heterogeneous set of elements.Motivation: MATLABdlT« R2009a provides the "containers.Map" data structure for storing an unordered heterogeneous set of elements - the Map ADT is a container that is indexed with a...


Platforms: Matlab

WinPaster allows to quickly paste a text, graphical or other type of data, prepared beforehand, into any application, using clipboard. WinPaster is loaded into a tray and can be invoked at any moment by clicking on hot keys or by clicking with a mouse on the icon. In the displayed list, it...


Platforms: Windows

ImageProperties .NET control reads and writes a comprehensive range of meta data from image files. This includes many EXIF types and image properties like Resolution and Color depth, Author, Title, Comments, photo properties like Creation date, Camera model, Shutter ISO-speed, Flash mode and a...


Platforms: Windows

Class::Meta is a Perl class automation, introspection, and data validation. SYNOPSIS Generate a class: package MyApp::Thingy; use strict; use Class::Meta; use Class::Meta::Types::String; use Class::Meta::Types::Numeric; BEGIN { # Create a Class::Meta object for this class. my $cm =...


Platforms: *nix