DADS is a web application designed for researchers to access information about a vast array of arithmetical dynamical systems that would otherwise take a long time to compute independently. This project was developed by the SLU Capstone Project team under Open Source with SLU in collaboration with Dr. Benjamin Hutz, a professor of mathematics and statistics at Saint Louis University.

• Home Page: A description of the application and a link to the GitHub repository.
• Explore Systems Page: Allows users to filter and query through the database for various properties like automorphism group cardinality and degree. The results are displayed in a paginated data table with a statistics summary to the right which shows metrics about the returned systems, such as average height.
• System Details Page: Each system in the paginated table has a label which can be selected to show a page with additional information about the system.

• Frontend: React
• Backend: Python
• Database: PostgreSQL

• Clone the repository from GitHub.
• Install the necessary dependencies for React and Python using PIP and npm install.
• Set up the PostgreSQL database.
• Run the application using "python server.py" and "npm start" commands in backend and frontend directories respectively.

We welcome contributions from the community. Please refer to the Contributing Guide for more information. https://github.com/oss-slu/dads/blob/main/Contributing_Guide.txt

Currently, the database connection settings are configured for local development using Beekeeper Studio with the following connection parameters:

psycopg2.connect(
    host='localhost',
    dbname='dad',
    user='dad_user',
    password='dad_pass',
    port='5432')

postgres_connector.py - Contains methods to select systems and build SQL query text server.py - Contains Flask server initialization and API routes4

ExploreSystems.js - This page allows users to filter and search through the dynamical systems database using various properties. SystemDetails.js - Displays detailed information about a specific system when selected from the results in the Explore Systems page, uses component tables and data passed from postgres_connector AboutPage.js - Contains static information about the site newDataTable.js - Renders a dynamic table that displays systems based on the search and filter criteria, complete with pagination functionality. Topbar.js - Contains navigation logic for the site

This project is licensed under the terms of the MIT license.

For any queries, please contact the SLU Capstone Project team or Dr. Hutz at Saint Louis University.