Free your data software for linux

Yukatan data model project is the schema definition of the Yukatan webmail database.
The PostgreSQL database structures defined in this file can be used as a backend store of an email message handling application. The database should be created with the "UNICODE" encoding to properly support messages in different languages.
New data types
The special data types commonly used in the Yukatan data model have been made explicit by the introduction of seven new domains. The domains and the related COMMENT statements make field semantics more clear than before.
See the SQL schema file for more detailed documentation on these domains.
Explicitly named constraints
All the table constraints in the database are now explicitly named and documented. This change makes the database implementation more orthogonal and cleans up the documentation.
Renamed fields and tables
All the *address field names have been truncated to *addr, to make it visually clearer that they are always paired with the corresponding *name fields. The change also makes parts of the documentation less repetitive.
The referencesfield table has been renamed to referencefield to avoid the plural form in the table name. Also all the contained references* field names have been renamed to reference*.
Semantic changes
Quite a few changes have been made to the semantics of various fields. The unnecessarily tight constraints on sequence numbers have been replaced with clearer documentation, the format and encoding of most fields has been explicitly documented, and the previously allowed dual use of the enttext and enddata fields has been prohibited.
Dropped envelope data
The envelope data added in version 0.5 of the data model has for now been removed. The reason for the removal is that the envelope data is not an integral part of an email message, and I wanted to make the version 1.0 as clear as possible. The database now stores "email messages" - nothing less, nothing more. Envelope data can and probably will be reintroduced in an incremental version 1.x along with other extensions.
Enhancements:
- cleans up and documents the data model that has developed since version 0.1
- removal of the envelope data added in version 0.5
- enaming and redefinition of some of the fields and tables
- database structure has also been extensively documented

Common Data Format is a self-describing data abstraction for the storage and manipulation of multidimensional data in a platform- and discipline-independent fashion.
It consists of a scientific data management package (known as the "CDF Library") that allows programmers and application developers to manage and manipulate scalar, vector, and multi-dimensional data arrays.
Enhancements:
- Adds new sets of APIs to allow Standard Interface to interact with zVariables and other CDF-related information.
- Adds MingW and FreeBSD ports.
- Adds support for Intel C++ and Fortran for Linux.
- Adds the ability to create legacy CDF 2.7 files.
- Fixes a bug that prevented directories from having .cdf or .skt extensions.

Mysql Data Manager (shortly MDM) is multifunctional and multiplatform web based mysql administration tool and data editor. Mysql Data Manager is a CGI script written in Perl. It uses web browser based GUI, which provides a complete set of high-level and low-level capabilities.
High-level functions allow to accomplish a lot with a single mouse click while low-level functions let you do precisely what you want. Using this tool you get a wide range of solutions to support any Mysql web application.
You log into Mysql server via transparent interface of MDM with no need to store your password into config file. You use all privileges granted to you on Mysql server to manage your databases and accounts. All your mouseclicks are being transmitted to mysql server transparently as a command or a chain of predefined commands.
Almost all messages you may receive from MDM interface are generated natively by mysql server and transparently transferred by MDM to web browser for your convenience.
Mysqk Data Manager is a transparent interface between you and Mysql that helps you to manage your data using pre-programmed operations.
Mysql Data Manager does not require root access to MySQL Server to do all the things you need to as a Database Administrator or Web Administrator through web interface.
Here are some operations that MDM can provide:
- CREATE AND ALTER TABLES. All table types are supported
- DELETE records using WHERE clause. DROP tables
- IMPORT DATA from CSV files generated by other applications.
- EXPORT DATA from search results or entire table into CSV files to use them with other applications.
- EDIT exported CSV FILES
- BACKUP and RESTORE the entire database or selected tables in seconds.
- ACCESS MANAGEMENT - create, edit and delete Mysql user accounts in bulk.
- Manage privileges of single and multiple users on all levels: global, database, table and column.
- SEARCH AND MODIFY records using multiple search criteria. (BLOBs are supported)
- INSERT AND EDIT DATA - edit multiple records from search result, directly or by uploading files from local computer. (unquoted expressions are supported).
- EDIT, INSERT and DELETE records in Spreadsheets
- ZOOM Blob and Text fields
- Visually compose SELECT query, joining several tables.
- PRINT DATA - Generate Printable Output.
- SQL SCRIPTING - Create, save, edit and run SQL scripts and use them as Shortcuts. Multiple queries and comments are supported.
- ADMIN FUNCTIONS - Optimize, Analyze, Repair and Check tables. Show status, Variables etc.
- GENEATE "CREATE TABLE" queries
- Provide each user with dedicated subdirectory to store backups, SQL scripts and exported or uploaded ASCII files.
- Assign maximum total size per user of saved backups, SQL scripts and exported or uploaded ASCII files.
- Customize colors and add clickable image.
- Assign a desired Character Set.
- Set up operational parameters using visual interface.
Main features:
- Security. Mysql Data Manager is as secure as your Mysql Server is. User name and password are not stored in any external file. There is no need to use .htaccess protection.
- Easy installation. Only single file must be uploaded. Setup is done using visual interface. You dont need to be root user to install this Mysql web Client.
- Easy in use. No programming skills are needed. Understandable and intuitive interface.
- Reliability and Efficiency. The program generates only pure HTML code. It does not use client side scripting.
- High Speed. Low Bandwidth. No image is used to build GUI. All you see on the screen is built from standard HTML elements. That means also compatibility with all web browsers.
- Multifunctionality.
- Ability to operate in Multi-User environment as universal control panel for wide range of database applications and services.
- All data types are supported.
- All table types are supported.
- All Mysql versions are supported.
- Ability to preview and customize automatically generated queries.
- Quick Backup and Restore
- Quick Import and Export
- High performance, affordable price.
- User friendly error handling
- Platform independence. This is Perl Script.
- Local connection to databases located on a remote host. Global access over the Internet.
- Fully transparent access to Mysql Server through Perl API.

Local Data Manager (LDM) is a collection of cooperating programs that select, capture, manage, and distribute arbitrary data products.
The system is designed for event-driven data distribution, and is currently used in the Unidata Internet Data Distribution (IDD) project. The LDM system includes network client and server programs and their shared protocols.
An important characteristic of the LDM is its support for flexible, site-specific configuration.
Enhancements:
- Fixes for timestamp bugs.

Google::Adwords::Data is base class for the Data modules.

This module is not supposed to be used directly. Use the child data modules.

Data::Stag is a Perl module with structured tags datastructures.

SYNOPSIS

# PROCEDURAL USAGE
use Data::Stag qw(:all);
$doc = stag_parse($file);
@persons = stag_find($doc, "person");
foreach $p (@persons) {
printf "%s, %s phone: %sn",
stag_sget($p, "family_name"),
stag_sget($p, "given_name"),
stag_sget($p, "phone_no"),
;
}

# OBJECT-ORIENTED USAGE
use Data::Stag;
$doc = Data::Stag->parse($file);
@persons = $doc->find("person");
foreach $p (@person) {
printf "%s, %s phone:%sn",
$p->sget("family_name"),
$p->sget("given_name"),
$p->sget("phone_no"),
;
}

This module is for manipulating data as hierarchical tag/value pairs (Structured TAGs or Simple Tree AGgreggates).

Data::Diff is a data structure comparison module.

SYNOPSIS

use Data::Diff qw(diff);

# simple procedural interface to raw difference output
$out = diff( $a, $b );

# OO usage
$diff = Data::Diff->new( $a, $b );

$new = $diff->apply();
$changes = $diff->diff_a();

Data::Diff computes the differences between two abirtray complex data structures.

METHODS

Creation

new Data::Diff( $a, $b, $options )

Creates and retruns a new Data::Diff object with the differences between $a and $b.

Access

apply( $options )

Returns the result of applying one side over the other.

raw()

Returns the internal data structure that describes the differences at all levels within.

Functions

Diff( $a, $b, $options )

Compares the two arguments $a and $b and returns the raw comparison between the two.

EXPORT

Nothing by default but you can choose to export the non-OO function Diff().

File::Data is a Perl module as a interface to file data.

Wraps all the accessing of a file into a convenient set of calls for reading and writing data, including a simple regex interface.

Note that the file needs to exist prior to using this module!

See new()

SYNOPSIS

use strict;

use File::Data;

my $o_dat = File::Data->new(./t/example);

$o_dat->write("complete file contentsn");

$o_dat->prepend("first linen"); # line 0

$o_dat->append("original second (last) linen");

$o_dat->insert(2, "new second linen"); # inc. zero!

$o_dat->replace(line, LINE);

print $o_dat->READ;

Or, perhaps more seriously :-}

my $o_sgm = File::Data->new(./sgmlfile);

print "new SGML data: ".$o_sgm->REPLACE(
s*((?s).*)s* ,
qq| key="val" |,
) if $o_sgm;

See METHODS and EXAMPLES.

IMPORTANT

lowercase method calls return the object itself, so you can chain calls.

my $o_obj = $o_dat->read; # ! READ; # !<<less