Case Study

A Professional Analytical Platform for Horary Astrology

Client’s Request: "To create a high-precision tool for professional astrologers that automates the most complex calculations (such as custom ephemeris computation) and performs logical analysis of planetary configurations — delivering ready-made structured conclusions to reduce analysis time from hours to minutes."

Our Solution

We designed a distributed system, separating a powerful computational backend from an intuitive frontend. On the server side, we implemented a high-precision engine in Python that calculates not only standard astrological parameters (aspects, antiscia) but also executes unique logical algorithms for chart interpretation.

The system intelligently processes user input: it automatically finds a city in the database, extracts its geographical coordinates, and analyzes 250 years of timezone history to ensure the historical accuracy of calculations.

Access to computational power is provided through a secure REST API built on Django REST Framework (using Class-Based Views) with JWT authentication. The React and TypeScript frontend was equipped with a meticulously designed type system, which eliminated errors when interacting with complex data structures from the server. For seamless integration into educational processes, we implemented an access control system linked to Teachable and WordPress platforms, where the application's functionality is dynamically unlocked based on the user's subscription level.

astrology app screenshot 1
astrology app screenshot 2

Results Achieved

  • Automation of Expert Work: An analysis process that took an astrologer dozens of minutes is now completed in seconds, with ready-made logical conclusions provided.
  • Recognition by the Professional Community: The platform was awarded the status of the best application for horary astrology by leading schools in different countries.
  • Global Accessibility and Usability: Multilingual support, a responsive interface with support for astrological fonts, dark/light theme, and flawless performance on any device.
  • Reliable and Scalable Architecture: The separation into backend and frontend, secure APIs, and comprehensive documentation ensured system stability and ease of further development.

Technology Stack

Python Django MariaDB React

The project leverages a full stack of modern technologies, each chosen for a specific strategic purpose.

  • The Python/Django & Django REST Framework backend forms the project's core, providing the robust business logic required for complex astronomical calculations and a secure, well-structured API.
  • React with TypeScript was essential for building a dynamic and reliable frontend. The detailed type system completely eliminated data structure errors when interacting with the complex server responses.
  • MariaDB reliably handles the structured data of user charts and extensive historical timezone information.
  • Critical integrations with Teachable and WordPress were implemented to seamlessly embed the application's functionality into existing educational ecosystems, with access dynamically managed by user roles.
  • The entire infrastructure is Docker-containerized and deployed on dedicated servers. Nginx acts as a reverse proxy, while Cloudflare provides enhanced security, DDoS protection, and global performance optimization.
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