Main > Free Download Search >

Free data providers software for linux

data providers

Sponsored Links
Sponsored Links
Secleted [ 0 ] software to compare
Results 1 - 15 of about 5034
Firebird .NET Data Provider 2.1.0

Firebird .NET Data Provider 2.1.0


Firebird .NET Data Provider is an ADO.NET data provider for Firebird. more>>
Firebird .NET Data Provider is an ADO.NET data provider for Firebird. Firebird .NET Data Provider is written in C# and provides a high-performance native implementation of the Firebird API. It also includes an implementation of the Firebird Services API and Firebird array datatype support.

Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, and a variety of Unix platforms. Firebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. It has been used in production systems, under a variety of names since 1981.

Firebird is a commercially independent project of C and C++ programmers, technical advisors and supporters developing and enhancing a multi-platform relational database management system based on the source code released by Inprise Corp (now known as Borland Software Corp) on 25 July, 2000 under the InterBase Public License v.1.0
<<less
Download (0.56MB)
Added: 2007-03-24 License: MPL (Mozilla Public License) Price:
968 downloads
Data.FormValidator 0.04

Data.FormValidator 0.04


Data.FormValidators aim is to bring all the benefits of the perl module Data::FormValidator over to javascript. more>>
Data.FormValidators aim is to bring all the benefits of the perl module Data::FormValidator over to javascript, using the same input profiles (they can be dumped into javascript objects using the perl module Data::JavaScript.
Data.FormValidator library lets you define profiles which declare the required and optional fields and any constraints they might have.
The results are provided as an object which makes it easy to handle missing and invalid results, return error messages about which constraints failed, or process the resulting valid data.
IMPORTANT NOTE: JavaScript form validation is NOT a replacement for data validation in your backend scripts. This is the primary reason this module was written... so that it would be easy to share the same validation profile for both the frontend (via Data.FormValidator.js) and backend (via Data::FormValidator.pm).
Enhancements:
- A problem where some functions were not terminated by a semi-colon, so JavaScript compactors would end up creating broken code was fixed.
<<less
Download (0.047MB)
Added: 2006-01-20 License: GPL (GNU General Public License) Price:
1372 downloads
Data::PropertyList 1998.1217

Data::PropertyList 1998.1217


Data::PropertyList is a Perl module that can convert arbitrary objects to/from strings. more>>
Data::PropertyList is a Perl module that can convert arbitrary objects to/from strings.

SYNOPSIS

use Data::PropertyList qw(astext fromtext);

$hash_ref = { items => [ 7 .. 11 ], key => value };
$string = astext($hash_ref);
# ...
$hash_ref = fromtext($string);
print $hash_ref->{items}[0];

$array_ref = [ 1, { key => value }, Omega ];
$string = astext($array_ref);
# ...
$array_ref = fromtext($string, -array=>1 );
print $array_ref->[1]{key};

Data::Propertylist provides functions that turn data structures with nested references into NeXTs Property List text format and back again.

You may find this useful for saving and loading application information in text files, or perhaps for generating error messages while debugging.

astext( $reference ) : $propertylist_string;

Writes out a nested Perl data structure in NeXT property list format.

fromtext( $propertylist_string ) : $hash_ref

fromtext( $propertylist_string, -array=>1 ) : $array_ref

Reconstructs a Perl data structure of nested references and scalars from a NeXT property list. Use the -array flag if the string encodes an array rather than a hash.

<<less
Download (0.008MB)
Added: 2006-08-17 License: Perl Artistic License Price:
1163 downloads
DOG Data Organizer 0.4.2

DOG Data Organizer 0.4.2


DOG Data Organizer provides a bookmark organizer for various bookmark types. more>>
DOG Data Organizer provides a bookmark organizer for various bookmark types.

DOG is a personal knowledge manager based on topic maps. It currently specializes in managing bookmarks.

It imports and exports Netscape, Mozilla, and KDE2 (XBEL) bookmark files, and it imports KDE1 bookmarks and Windows IE Favorites.

<<less
Download (0.42MB)
Added: 2007-03-12 License: GPL (GNU General Public License) Price:
960 downloads
Data::Page::Viewport 1.02

Data::Page::Viewport 1.02


Data::Page::Viewport is a Perl module to scroll thru data a page, or just an item, at a time. more>>
Data::Page::Viewport is a Perl module to scroll thru data a page, or just an item, at a time.

Synopsis

This is a complete, tested, runnable program.
#!/usr/bin/perl

use strict;
use warnings;

use Data::Page::Viewport;

# -----------------------------------------------

my(@data) = (qw/zero one two three four five six
seven eight nine ten eleven twelve thirteen fourteen/);
my($page) = Data::Page::Viewport -> new
(
data_size => scalar @data,
page_size => 4
);

print "Data bounds: 0 .. $#data. n";
print "Data: ", join(, , @data), ". n";
print "Page bounds: 0 .. 3. n";
print "Page data: ", join(, , @data[0 .. 3]), ". n";
print "n";

my(@bound);

for (-2, 1, 4, 4, 1, 3, 3, -2, 1, 2, 1, -4, -4,
-1, 1, 2, -1, -2, -2, -1, -4, 4, 4, 4)
{
print "Offset: $_. n";

@bound = $page -> offset($_) -> bounds();

print "Page bounds: $bound[0] .. $bound[1]. n";
print Page data: ,
join(, , @data[$bound[0] .. $bound[1] ]),
". n";
print - x 50, "n";
}

Data::Page::Viewport is a pure Perl module.

This module keeps track of what items are on the current page, when you scroll forwards or backwards within a data set.

Similarly to Data::Page, you can call sub offset(N), for + or - N, to scroll thru the data a page at a time.

And, like Set::Window, you can call sub offset(N), for + or - 1, to scroll thru the data an item at a time.

Clearly, N does not have to be fixed.

The viewport provides access to the current page, and the code shifts indexes into and out of the viewport, according to the parameter passed to sub offset().

Note that the data is not passed into this module. The module only keeps track of the indexes within the viewport, i.e. indexes on the current page.

You call sub bounds() on the object (of type Set::Window) returned by sub offset(), to determine what indexes are on the current page at any particular point in time.

Also note that, unlike Set::Window, the boundaries of the viewport are rigid, so that changes to the indexes caused by sub offset() are limited by the size of the data set.

This means, if you do this:

my($page) = Data::Page::Viewport -> new
(
data_size => $#data, # 0 .. $#data.
page_size => $page_size, # 1 .. N.
);

my(@bound) = $page -> offset(- 1) -> bounds();

the call to sub offset(- 1) will have no effect.

That is, when trying to go back past the beginning of the data set, the bounds will be locked to values within 0 .. data_size.

Similarly, a call which would go beyond the other end of the data set, will lock the bounds to the same range.

In short, you cant fall off the edge by calling sub offset().

This in turn means that the values returned by sub bounds() will always be valid indexes within the range 0 .. data_size.

The module implements this by building 2 objects of type Set::Window, one for the original data set (which never changes), and one for the current page, which changes each time sub offset() is called (until the boundaries are hit, of course).

Note: No range checking is performed on the parameters to sub new().

Note: It should be obvious by now that this module differs from Data::Page, and indeed all such modules, in that they never change the items which are on a given page. They only allow you to change the page known as the current page. This module differs, in that, by calling sub offset(+ or - N), you are effectively changing the items which are deemed to be on the current page.

<<less
Download (0.008MB)
Added: 2006-10-03 License: Perl Artistic License Price:
1117 downloads
Data::TreeDumper 0.33

Data::TreeDumper 0.33


Data::TreeDumper is an improved replacement for Data::Dumper. more>>
Data::TreeDumper is an improved replacement for Data::Dumper. Powerful filtering capability.

SYNOPSIS

use Data::TreeDumper ;

my $sub = sub {} ;

my $s =
{
A =>
{
a =>
{
}
, bbbbbb => $sub
, c123 => $sub
, d => $sub
}

, C =>
{
b =>
{
a =>
{
a =>
{
}

, b => sub
{
}
, c => 42
}

}
}
, ARRAY => [qw(elment_1 element_2 element_3)]
} ;


#-------------------------------------------------------------------
# package setup data
#-------------------------------------------------------------------

$Data::TreeDumper::Useascii = 0 ;
$Data::TreeDumper::Maxdepth = 2 ;

print DumpTree($s, title) ;
print DumpTree($s, title, MAX_DEPTH => 1) ;
print DumpTrees
(
[$s, "title", MAX_DEPTH => 1]
, [$s2, "other_title", DISPLAY_ADDRESS => 0]
, USE_ASCII => 1
, MAX_DEPTH => 5
) ;

Output:

title:
|- A [H1]
| |- a [H2]
| |- bbbbbb = CODE(0x8139fa0) [C3]
| |- c123 [C4 -> C3]
| `- d [R5]
| `- REF(0x8139fb8) [R5 -> C3]
|- ARRAY [A6]
| |- 0 [S7] = elment_1
| |- 1 [S8] = element_2
| `- 2 [S9] = element_3
`- C [H10]
`- b [H11]
`- a [H12]
|- a [H13]
|- b = CODE(0x81ab130) [C14]
`- c [S15] = 42

<<less
Download (0.026MB)
Added: 2007-07-06 License: Perl Artistic License Price:
840 downloads
Data::Report 0.06

Data::Report 0.06


Data::Report provides a framework for flexible reporting. more>>
Data::Report provides a framework for flexible reporting.

Data::Report is a flexible, plugin-driven reporting framework. It makes it easy to define reports that can be produced in text, HTML and CSV. Textual ornaments like extra empty lines, dashed lines, and cell lines can be added in a way similar to HTML style sheets.

The Data::Report framework consists of three parts:
The plugins

Plugins implement a specific type of report. Standard plugins provided are Data::Report::Plugin::Text for textual reports, Data::Report::Plugin::Html for HTML reports, and Data::Report::Plugin::Csv for CSV (comma-separated) files.
Users can, and are encouraged, to develop their own plugins to handle different styles and types of reports.

The base class
The base class Data::Report::Base implements the functionality common to all reporters, plus a number of utility functions the plugins can use.

The factory
The actual Data::Report module is a factory that creates a reporter for a given report type by selecting the appropriate plugin and returning an instance thereof.

<<less
Download (0.016MB)
Added: 2007-03-31 License: Perl Artistic License Price:
937 downloads
Data::Password::Manager 0.02

Data::Password::Manager 0.02


Data::Password::Manager is a Perl module to generate, check, manage crypt - des passwords. more>>
Data::Password::Manager is a Perl module to generate, check, manage crypt - des passwords.

SYNOPSIS

use Data::Password::Manager qw(
pw_gen
pw_valid
pw_obscure
pw_clean
pw_get
);

$password = pw_gen($cleartext);
$ok = pw_valid($cleartxt,$password);
$clean_text = pw_clean($dirty_text);
($code,$text) = $pw_obscure($newpass,$oldpass,$min_len);
$passwd = pw_get($user,$passwd_file,$error);

$password = pw_gen($cleartext);
Generate a 13 character DES password string from clear text
input: string<<less
Download (0.013MB)
Added: 2007-02-20 License: Perl Artistic License Price:
978 downloads
Data Display Debugger 3.3.11

Data Display Debugger 3.3.11


Data Display Debugger is a common graphical user interface for GDB, DBX and XDB. more>>
GNU DDD is a graphical front-end for command-line debuggers such as GDB, DBX, WDB, Ladebug, JDB, XDB, the Perl debugger, the bash debugger, or the Python debugger.

Besides "usual front-end features such as viewing source texts, DDD has become famous through its interactive graphical data display, where data structures are displayed as graphs.
<<less
Download (7.3MB)
Added: 2005-04-18 License: GPL (GNU General Public License) Price:
1661 downloads
Data::DPath::Builder 0.00_01

Data::DPath::Builder 0.00_01


Data::DPath::Builder is a SAX handler for building an XPath tree. more>>
Data::DPath::Builder is a SAX handler for building an XPath tree.

SYNOPSIS

use AnySAXParser;
use Data::DPath::Builder;

$builder = Data::DPath::Builder->new();
$parser = AnySAXParser->new( Handler => $builder );

$root_node = $parser->parse( Source => [SOURCE] );

Data::DPath::Builder is a SAX handler for building an Data::DPath tree.

Data::DPath::Builder is used by creating a new instance of Data::DPath::Builder and providing it as the Handler for a SAX parser. Calling `parse() on the SAX parser will return the root node of the tree built from that parse.

<<less
Download (0.032MB)
Added: 2006-08-31 License: Perl Artistic License Price:
1149 downloads
Fast Data Transfer 0.8.0

Fast Data Transfer 0.8.0


Fast Data Transfer is an application for efficient data transfers that is capable of reading and writing at disk speed. more>>
Fast Data Transfer is an application for efficient data transfers that is capable of reading and writing at disk speed over wide area networks (with standard TCP).
It can be used to stream a large set of files across the network, so a large dataset composed of thousands of files can be sent or received at full speed, without the network transfer restarting between files.
The project is written in Java, runs an all major platforms, and is easy to use.
Main features:
- Streams a dataset (list of files) continuously, using a managed pool of buffers through one or more TCP sockets.
- Uses independent threads to read and write on each physical device
- Transfers data in parallel on multiple TCP streams, when necessary
- Uses appropriate-sized buffers for disk I/O and for the network
- Restores the files from buffers asynchronously
- Resumes a file transfer session without loss, when needed
<<less
Download (0.35MB)
Added: 2007-08-21 License: Other/Proprietary License Price:
797 downloads
Data::Phrasebook::Loader::XML 0.12

Data::Phrasebook::Loader::XML 0.12


Data::Phrasebook::Loader::XML Perl module can abstract your phrases with XML. more>>
Data::Phrasebook::Loader::XML Perl module can abstract your phrases with XML.

SYNOPSIS

use Data::Phrasebook;

my $q = Data::Phrasebook->new(
class => Fnerk,
loader => XML,
file => phrases.xml,
dict => Dictionary, # optional
);

OR

my $q = Data::Phrasebook->new(
class => Fnerk,
loader => XML,
file => {
file => phrases.xml,
ignore_whitespace => 1,
}
);

# simple keyword to phrase mapping
my $phrase = $q->fetch($keyword);

# keyword to phrase mapping with parameters
$q->delimiters( qr{ [% s* (w+) s* %] }x );
my $phrase = $q->fetch($keyword,{this => that});

<<less
Download (0.017MB)
Added: 2007-07-24 License: Perl Artistic License Price:
822 downloads
Sowa Data Capacitor 0.0.0_dev0

Sowa Data Capacitor 0.0.0_dev0


Sowa Data Capacitor is a unified Java API for accessing data in several different forms, such as XML, memory, or database. more>>
Sowa Data Capacitor is a unified Java API for accessing data in several different forms, such as XML, database or memory.

Installation:

Sowa Data Capacitor now not need any dependences (except ant), but itll propably have.

To build it you have to have:

* Apache Ant
* JDK of Java 2

To use it you have to have:

* JVM of Java 2

To build it just run build in base catalogue.

Version Convention

First noumber(maior) is api version, except 0 and 1 which is maturity change.
Itll change only if api is completly rewritten.

Second(minor) means small api(especcially adds) changes, which could break(but
not have to) plugins but not applications.

Third(patch) means some improvement, which not change api.

Dev means version for developer(of plugins optionally applications), Alpha
and Beta test release.

Last noumber mark order of releases.
<<less
Download (0.015MB)
Added: 2006-03-24 License: GPL (GNU General Public License) Price:
1309 downloads
Data::FormValidator::Filters::Image 0.30

Data::FormValidator::Filters::Image 0.30


Data::FormValidator::Filters::Image is a filter that allows you to shrink incoming image uploads using Data::FormValidator. more>>
Data::FormValidator::Filters::Image is a filter that allows you to shrink incoming image uploads using Data::FormValidator.

SYNOPSIS

use Data::FormValidator::Filters::Image qw( image_filter );

# Build a Data::FormValidator Profile:
my $my_profile = {
required => qw( uploaded_image ),
field_filters => {
uploaded_image => image_filter(max_width => 800, max_height => 600),
},
};

# Be sure to use a CGI.pm object as the form input
# when using this filter
my $q = new CGI;
my $dfv = Data::FormValidator->check($q,$my_profile);

Many users when uploading image files never bother to shrink them down to a reasonable size. Instead of declining the upload because it is too large, this module will shrink the image down to a reasonable size during the form validation stage.
The filter will try to fail gracefully by leaving the upload as is if the image resize operation fails.

<<less
Download (0.019MB)
Added: 2007-01-15 License: Perl Artistic License Price:
1012 downloads
Data::Validator::Item 0.75

Data::Validator::Item 0.75


Data::Validator::Item is a Factory Class to validate data items. more>>
Data::Validator::Item is a Factory Class to validate data items.

This is an attempt to create an object which will permit semi-automatic verification of a data value.

SYNOPSIS

use Data::Validator::Item;
my $item = Data::Validator::Item->new(); #Create a new Data::Validator::Item, called $item.

#Set values
$item->name(fred);
$item->values([1,2,3]); or $item->values(@array);
$item->missing(*); or $item->missing(); #undef is unlikely to be sensible!
$item->min(0); $item->max(100);
$item->verify($reference_to_subroutine); #Used in the $item->validate() function
$item->transform($reference_to_subroutine); #Used in the $item->put() function

#Get values
my $name = $item->name();
my @values = $item->values();
my $missing = $item->missing();
etc...

#Use it.. $item->validate(); #Returns 1 for success, 0 for failure $item->error(); #Returns the correct error message $item->put();

USAGE

Many people work with data organised as records, each containing (potentially many) variables. It is often necessary to process files of such records, and to test every variable within every record to ensure that each one is valid. I do this before putting data from very large flat files into my databases. For each variable I had a need to define specific, sometimes complex rules for validity, then implement them, and check them. This is what Data::Validator::Item is for.

Note carefully that Data::Validator::Item handles only one scalar vlaue at a time. This value could come from a file, a database, an array, a hash or your grannys parrot. Data::Validator::Item doesnt care.

I use Data::Validator::Item as follows. I create one for every named variable in my data file. In many real applications most of this setup can be done by looping over a list of variable names, creating many Data::Validator::Items each named for the corresponding variable. Common features, like missing values, and names can be set in this loop.

Specifics, like values(), min(), max(), verify() and so on can be set individually. I then create a hash to hold all of the Data::Validator::Items for a particular data source, The keys of this hash are the names of the variables, and the values are the Data:Validators themselves. Y.M.M.V.

<<less
Download (0.011MB)
Added: 2007-02-28 License: Perl Artistic License Price:
969 downloads
Secleted [ 0 ] software to compare
  • Page: 1 of 5
  • 1
  • 2
  • 3
  • 4
  • 5