Free measure nonverbal empathy provided software for linux

Geekbench is a cross-platform benchmark for Linux, Mac OS X and Windows. While Geekbench is still under heavy development, we think it’s useful enough that other people might be interested in running it.

Geekbench tries to measure the performance an average application can expect from the computer being benchmarked. As such, all of the benchmarks in Geekbench are written in platform-neutral C and C++, and have no platform-specific optimizations, and Geekbench is compiled with what we consider the de-facto standard compiler for each platform, with the compiler switches suggested by the compiler for release code.

Empathy 2.26.2 / 2.27.3 gives an application which functions as a Gnome IM/voice/video client reusing Gossips UI and using Nokias Mission Control. It has a rich set of reusable instant messaging widgets, and a GNOME client using those widgets. It uses Telepathy and Nokias Mission Control, and reuses Gossips UI.

Text::NSP::Measures::2D::Fisher::left is a Perl module implementation of the left sided Fishers exact test.

SYNOPSIS

Basic Usage

use Text::NSP::Measures::2D::Fisher::left;

my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10;

$left_value = calculateStatistic( n11=>$n11,
n1p=>$n1p,
np1=>$np1,
npp=>$npp);

if( ($errorCode = getErrorCode()))
{
print STDERR $errorCode." - ".getErrorMessage();
}
else
{
print getStatisticName."value for bigram is ".$left_value;
}

Measuring Buffer 20090628 provides you with a perfect and enhanced version of buffer which features display of throughput, network support, memory-mapped file I/O for huge buffers and multithreading. This will be your excellent choice.

Funnel Web Analyzer provides essential Web site visitor and traffic analysis.
Every person who visits your companys Web site leaves a trail behind. Your Web server logs their every action and you can use this information to help improve your business. Funnel Web Analyzer provides essential Web site visitor and traffic analysis. It measures everything from server load and referrals to visitor demographics and marketing ROI.
Funnel Web Analyzer helps you optimize your web site by allowing you to analyze how users interact with your site and helps you make informed decisions about what changes you can make to improve their experience.
- What are the demographics of my customers?
- How many unique customers do I have, and how many of these are repeat visitors?
- How long does a visitor spend on each page?
- Which streaming media files are most popular?
- What are my most popular pages?
- How successful was my banner advertisement in attracting visitors to my site?
- What are the peak periods of activity on my site?
- What downloads are most popular?
- What search terms are people using to find my site?
Comprehensive Visitor Analysis
Give your executives and managers unique insight into what your customers are really interested in. Analyzer generates more than 50 different reports and graphs in 12 different languages. Reports can even be customized to reflect your corporate identity and published in a variety of formats including PDF, HTML, Word and Excel.
Identify where users come from before they arrive at your site with the referrals report. This is a great way to measure the effectiveness of promotional campaigns, press releases and affiliate/partner programs. You can even generate separate advertising reports to measure the click-through rates of individual banner ad campaigns.
Funnel Web Analyzer is freeware and provides everything you need to quickly analyze the traffic on your Web site. With virtually no setup, you get an extensive set of valuable reports right from the start.

Text::NSP::Measures is a Perl module for computing association scores of Ngrams. This module provides the basic framework for these measures.

SYNOPSIS

Basic Usage

use Text::NSP::Measures::2D::MI::ll;

my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10;

$ll_value = calculateStatistic( n11=>$n11,
n1p=>$n1p,
np1=>$np1,
npp=>$npp);

if( ($errorCode = getErrorCode()))
{
print STDERR $errorCode." - ".getErrorMessage()."n"";
}
else
{
print getStatisticName."value for bigram is ".$ll_value."n"";
}

Devel::Cover package contains code coverage metrics for Perl.

SYNOPSIS

perl -MDevel::Cover yourprog args
cover

perl -MDevel::Cover=-db,cover_db,-coverage,statement,time yourprog args
To test an uninstalled module:
cover -delete
HARNESS_PERL_SWITCHES=-MDevel::Cover make test
cover
To test an uninstalled module which uses Module::Build (0.26 or later):
./Build testcover
If the module does not use the t/*.t framework:
PERL5OPT=-MDevel::Cover make test

This module provides code coverage metrics for Perl. Code coverage metrics describe how throroughly tests exercise code. By using Devel::Cover you can find areas of code not exercised by your tests and find out which tests to create to increase coverage. Code coverage can be considered as an indirect measure of quality.

If you cant guess by the version number this is an alpha release.
Code coverage data are collected using a pluggable runops function which counts how many times each op is executed. These data are then mapped back to reality using the B compiler modules. There is also a statement profiling facility which needs a better backend to be really useful.

The cover program can be used to generate coverage reports.

Statement, branch, condition, subroutine, pod and time coverage information is reported. Statement coverage data should be reasonable, although there may be some statements which are not reported. Branch and condition coverage data should be mostly accurate too, although not always what one might initially expect. Subroutine coverage should be as accurate as statement coverage. Pod coverage comes from Pod::Coverage. If Pod::Coverage::CountParents is available it will be used instead. Coverage data for path coverage are not yet collected.

The gcov2perl program can be used to convert gcov files to Devel::Cover databases.

You may find that the results dont match your expectations. I would imagine that at least one of them is wrong.

The most appropriate mailing list on which to discuss this module would be perl-qa. Discussion has migrated there from perl-qa-metrics which is now defunct. See http://lists.perl.org/showlist.cgi?name=perl-qa.