Update documenation

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Carsten Grohmann 2019-11-24 10:46:44 +01:00
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<title>OOM Analyser</title>
<style>
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</div>
<div class="js-text--default-hide js-text--display-none" id="changelog">
<h3>Version 0.3.0 - 2019-XX-XX:</h3>
<h3>Version 0.3.0 - 2019-11-24:</h3>
<h4>General</h4>
<ol>
<li>Improve presentation</li>
<li>Separate analysis and visualisation code</li>
<li>Use CSS classes to control the visibility</li>
<li>Strip columns left to the message automatically</li>
<li>Lot if internal improvements and restructuring</li>
<li>Bug fixes</li>
</ol>
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<h4>Note</h4>
<ol>
<li>
See the
<a href="https://github.com/CarstenGrohmann/OOMAnalyser/commits" title="commit history">commit history</a>
of the repository for a full list of changes.
</li>
</ol>
See the
<a href="https://github.com/CarstenGrohmann/OOMAnalyser/compare/v0.2.0...v0.3.0"
title="commit history">commit history</a>
of the repository for a full list of changes.
</div>
<div>

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## Introduction
OOMAnalyser is a small project to transform the OOM output of a Linux kernel
into a more human friendly format and show the information on a single web
page. All data will be processed locally in your browser - the data will not
transferred to foreign servers. Thereby the OOM webpage can be used without an
Internet connection also.
OOMAnalyser is a small project to transform the OOM message of a Linux kernel into a more user-friendly format.
This project is written in Python and it uses [Transcrypt](https://www.transcrypt.org/) to
compile the Python sources into JavaScript.
OOMAnalyser consists of a web page into whose input field the OOM message is copied. JavaScript code extracts the data
from it and displays the details. All processing takes place in the browser. No data is transferred to external servers.
This makes it possible to use a locally stored copy of the website for analysis.
The current online version is available on https://www.carstengrohmann.de/oom/.
This project is written in Python and uses [Transcrypt](https://www.transcrypt.org/) to translate the Python sources
into JavaScript.
The current online version is available at https://www.carstengrohmann.de/oom/ .
## Installation