Free data from the goonies software for linux

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.

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.

The Data Mine is a search engine designed to give users an unusually powerful interface. It is designed around human-computer intelligent interaction (making the computer a tool so humans can use their intelligence).

The project divides the screen into two halves: one lets you find all the instances of your querys keywords, and the other lets you look through a highlighted version of the results you choose.

Installation:

Basics

To install, run "./install" and answer the questions provided. This will run a Unix-flavor install-style script and should create a working, out-of-the-box installation when supplied appropriate values.

See USAGE below if are curions about how to use the Data Mine.

Setup and Customization

The Configure link at the bottom of the Data Mine search page provides a menu you can use to customize the data mine.

The main engine is intended for anyone to be able to use; the setup pages are written for techies. If you arent sure what a regular expression is, for instance, ask someone whos more technical.

Security

The present release of the Data Mine has not been closely scrutinized for security, and should be treated as such by security-conscious administrators. If you discover a vulnerability, please contact the author.

You are strongly encouraged to change the password in /usr/share/datamine/password.

The default installation sets /usr/share/datamine and contents to a relatively permissive mode. Administrators are encouraged to set directory and contents to mode 700, owned by the effective user ID that CGI scripts will be running under. This is usually apache or nobody.

Usage:

The Data Mine is designed to be run as a straightforward web application, with much administrative activity performed on-web.

Once it is set up via the Configure link, just explore.

http://[your hostname]/cgi-bin/datamine

(That is the location provided by RPM installation and the default for the provided installer. The provided installer allows you to specify another location; if you specified another location, substitute that for "/cgi-bin/furball".)

Data::FormValidator::Constraints is a Perl module with basic sets of constraints on input profile.

SYNOPSIS

use Data::FormValidator::Constraints qw(:all);
In an Data::FormValidator profile:
constraint_methods => {
email => email(),
fax => american_phone(),
phone => american_phone(),
state => state(),
},

These are the builtin constraints that can be specified by name in the input profiles.
Be sure to check out the SEE ALSO section for even more pre-packaged constraints you can use.

Data::Faker::DateTime is a Data::Faker plugin.

DATA PROVIDERS

unixtime

Return a unix time (seconds since the epoch) for a random time between the epoch and now.

date

Return a random date as a string, using a random date format (see date_format).

time

Return a random time as a string, using a random time format (see time_format).

rfc822

Return an RFC 822 formatted random date. This method may not work on systems using a non-GNU strftime implementation (kindly let me know if that is the case.)

ampm

Returns am or pm randomly (in the current locale) using one of the formats specified in ampm_format.

time_format

Return a random time format.

date_format

Return a random date format.

ampm_format

Return a random am/pm format.

datetime_format

Return a random date and time format.

month

Return a random month name, unabbreviated, in the current locale.

month_abbr

Return a random month name, abbreviated, in the current locale.

weekday

Return a random weekday name, unabbreviated, in the current locale.

weekday_abbr

Return a random weekday name, abbreviated, in the current locale.

sqldate

Return a random date in the ISO8601 format commonly used by SQL servers (YYYY-MM-DD).

datetime_locale

Return a datetime string in the preferred date representation for the current locale, for a random date.

date_locale

Return a date string in the preferred date representation for the current locale, for a random date.

time_locale

Return a time string in the preferred date representation for the current locale, for a random date.

century

Return a random century number.

dayofmonth

Return a random day of the month.

Data::CTable is a Perl module that helps you read, write, manipulate tabular data.

SYNOPSIS

## Read some data files in various tabular formats
use Data::CTable;
my $People = Data::CTable->new("people.merge.mac.txt");
my $Stats = Data::CTable->new("stats.tabs.unix.txt");

## Clean stray whitespace in fields
$People->clean_ws();
$Stats ->clean_ws();

## Retrieve columns
my $First = $People->col(FirstName);
my $Last = $People->col(LastName );

## Calculate a new column based on two others
my $Full = [map {"$First->[$_] $Last->[$_]"} @{$People->all()}];

## Add new column to the table
$People->col(FullName => $Full);

## Another way to calculate a new column
$People->col(Key);
$People->calc(sub {no strict vars; $Key = "$Last,$First";});

## "Left join" records matching Stats:PersonID to People:Key
$Stats->join($People, PersonID => Key);

## Find certain records
$Stats->select_all();
$Stats->select(Department => sub {/Sale/i }); ## Sales depts
$Stats->omit (Department => sub {/Resale/i}); ## not Resales
$Stats->select(UsageIndex => sub {$_ > 20.0}); ## high usage

## Sort the found records
$Stats->sortspec(DeptNum , {SortType => Integer});
$Stats->sortspec(UsageIndex, {SortType => Number });
$Stats->sort([qw(DeptNum UsageIndex Last First)]);

## Make copy of table with only found/sorted data, in order
my $Report = $Stats->snapshot();

## Write an output file
$Report->write(_FileName => "Rept.txt", _LineEnding => "mac");

## Print a final progress message.
$Stats->progress("Done!");

## Dozens more methods and parameters available...

OVERVIEW

Data::CTable is a comprehensive utility for reading, writing, manipulating, cleaning and otherwise transforming tabular data. The distribution includes several illustrative subclasses and utility scripts.

A Columnar Table represents a table as a hash of data columns, making it easy to do data cleanup, formatting, searching, calculations, joins, or other complex operations.

The objects hash keys are the field names and the hash values hold the data columns (as array references).

Tables also store a "selection" -- a list of selected / sorted record numbers, and a "field list" -- an ordered list of all or some fields to be operated on. Select() and sort() methods manipulate the selection list. Later, you can optionally rewrite the table in memory or on disk to reflect changes in the selection list or field list.
Data::CTable reads and writes any tabular text file format including Merge, CSV, Tab-delimited, and variants. It transparently detects, reads, and preserves Unix, Mac, and/or DOS line endings and tab or comma field delimiters -- regardless of the runtime platform.

In addition to reading data files, CTable is a good way to gather, store, and operate on tabular data in memory, and to export data to delimited text files to be read by other programs or interactive productivity applications.

To achieve extremely fast data loading, CTable caches data file contents using the Storable module. This can be helpful in CGI environments or when operating on very large data files. CTable can read an entire cached table of about 120 megabytes into memory in about 10 seconds on an average mid-range computer.

For simple data-driven applications needing to store and quickly retrieve simple tabular data sets, CTable provides a credible alternative to DBM files or SQL.
For data hygiene applications, CTable forms the foundation for writing utility scripts or compilers to transfer data from external sources, such as FileMaker, Excel, Access, personal organizers, etc. into compiled or validated formats -- or even as a gateway to loading data into SQL databases or other destinations. You can easily write short, repeatable scripts in Perl to do reporting, error checking, analysis, or validation that would be hard to duplicate in less-flexible application environments.

The data representation is simple and open so you can directly access the data in the object if you feel like it -- or you can use accessors to request "clean" structures containing only the data or copies of it. Or you can build your own columns in memory and then when youre ready, turn them into a table object using the very flexible new() method.

The highly factored interface and implementation allow fine-grained subclassing so you can easily create useful lightweight subclasses. Several subclasses are included with the distribution.

Most defaults and parameters can be customized by subclassing, overridden at the instance level (avoiding the need to subclass too often), and further overridden via optional named-parameter arguments to most major method calls.

Data::SpreadPagination is a Perl module for page numbering and spread pagination.

SYNOPSIS

use Data::SpreadPagination;
my $pageInfo = Data::SpreadPagination->new({
totalEntries => $totalEntries,
entriesPerPage => $entriesPerPage,
# Optional, will use defaults otherwise.
# only 1 of currentPage / startEntry can be provided.
currentPage => $currentPage,
startEntry => $startEntry,
maxPages => $maxPages,
});

# General page information
print " First page: ", $pageInfo->first_page, "n";
print " Last page: ", $pageInfo->last_page, "n";
print " Next page: ", $pageInfo->next_page, "n";
print " Previous page: ", $pageInfo->previous_page, "n";

# Results on current page
print "First entry on page: ", $pageInfo->first, "n";
print " Last entry on page: ", $pageInfo->last, "n";

# Page range information
my $pageRanges = $pageInfo->page_ranges;

# Print out the page spread
foreach my $page ($pageInfo->pages_in_spread()) {
if (!defined $page) {
print "... ";
} elsif ($page == $pageInfo->current_page) {
print "$page ";
} else {
print "$page ";
}
}

The object produced by Data::SpreadPagination can be used to create a spread pagination navigator. It inherits from Data::Page, and has access to all of the methods from this object.

In addition, it also provides methods for creating a pagination spread, to allow for keeping the number of pagenumbers displayed within a sensible limit, but at the same time allowing easy navigation.

The object can easily be passed to a templating system such as Template Toolkit or be used within a script.