Fame Kalibrator

Utilities

Source (link to git-repo or to original if based on someone elses unmodified work): Add the source-code for this project on opencode.net

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Description:

DESCRIPTION

Find out who is more famous and quantify their relationship in numerical terms with this fame calibrator written in pyqt.

Just enter two names or concepts and the program will quantify their fame and their degree of relatedness according to data from YahooSearch. It will also download random images associated with the query.

Some interesting queries:

Paris Hilton Vs Madonna
The Beatles Vs Rolling Stones
Luck Vs Destiny
Love Vs Sex
Marilyn Monroe Vs Arthur Miller
Marlon Brando Vs James Dean

... Have Fun!

INSTALLATION (very easy):

Unpack, cd to kalibrator directory and run in terminal "python kalibrator.py" or "./kalibrator.py" if you turned the archive into executable.

It requires the pyqt module (if you installed Amarok you already have it).

Thanks to Swaroop C H and his qpicsearch for the inspiration and examples of querying the yahoo api from python.

rubentm

13 years ago

Lol, very funny!! I like it sure!!

PD: love wins sex ^^

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brcha

13 years ago

Is this something like a desktop version of Google fight? I'll have to give it a try. Sounds funny :)

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C

chalimac

13 years ago

I had never seen Google Fight before coding this :)

I like the graphic bars they use. But Fame Kalibrator has images.

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0.2
updated Mar 21 2007
added Mar 21 2007
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