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Grégory Soutadé 2014-12-19 18:30:12 +01:00
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docs/index.md
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Introduction
------------
iwla (Intelligent Web Log Analyzer) is basically a clone of [awstats](http://www.awstats.org). The main problem with awstats is that it's a very monolothic project with everything in one big PERL file. In opposite, iwla has be though to be very modular : a small core analysis and a lot of filters. It can be viewed as UNIX pipes. Philosophy of iwla is : add, update, delete ! That's the job of each filters : modify statistics until final result.
iwla (Intelligent Web Log Analyzer) is basically a clone of [awstats](http://www.awstats.org). The main problem with awstats is that it's a very monolothic project with everything in one big PERL file. In opposite, iwla has be though to be very modular : a small core analysis and a lot of filters. It can be viewed as UNIX pipes. Philosophy of iwla is : add, update, delete ! That's the job of each filters : modify statistics until final result. It's written in Python.
Nevertheless, iwla is only focused on HTTP logs. It uses data (robots definitions, search engines definitions) and design from awstats. Moreover, it's not dynamic, but only generates static HTML page (with gzip compression option).

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docs/main.md
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@ -4,7 +4,7 @@ iwla
Introduction
------------
iwla (Intelligent Web Log Analyzer) is basically a clone of [awstats](http://www.awstats.org). The main problem with awstats is that it's a very monolothic project with everything in one big PERL file. In opposite, iwla has be though to be very modular : a small core analysis and a lot of filters. It can be viewed as UNIX pipes. Philosophy of iwla is : add, update, delete ! That's the job of each filters : modify statistics until final result.
iwla (Intelligent Web Log Analyzer) is basically a clone of [awstats](http://www.awstats.org). The main problem with awstats is that it's a very monolothic project with everything in one big PERL file. In opposite, iwla has be though to be very modular : a small core analysis and a lot of filters. It can be viewed as UNIX pipes. Philosophy of iwla is : add, update, delete ! That's the job of each filters : modify statistics until final result. It's written in Python.
Nevertheless, iwla is only focused on HTTP logs. It uses data (robots definitions, search engines definitions) and design from awstats. Moreover, it's not dynamic, but only generates static HTML page (with gzip compression option).