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Try another main picture in documentation
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README.md

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# Code Graph Analysis Pipeline
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<img src="./images/DALL-E-Mini-Graph-Pipeline-Logo.png" align="left" hspace="10" width="180">
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<img src="./images/DALL-E-Mini-Graph-Pipeline-Logo-2.png" align="left" hspace="10" width="180">
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Contained within this repository is a comprehensive and automated code graph analysis pipeline. While initially designed to support Java through the utilization of [jQAssistant](https://jqassistant.org/get-started), it is open to extension for further programming languages. The graph database [Neo4j](https://neo4j.com) serves as the foundation for storing and querying the graph, which encompasses all the structural intricacies of the analyzed code. Additionally, Neo4j's [Graph Data Science](https://neo4j.com/product/graph-data-science) provides additional algorithms like community detection to analyze the code structure. The generated reports offer flexibility, ranging from simple query results presented as CSV files to more elaborate Jupyter Notebooks converted to Markdown or PDF formats.
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