Chancay vs. Callao: Engineering an Interactive Trans-Pacific Maritime Logistics Explorer with Python, Streamlit, and Plotly

The maritime logistics landscape in South America is evolving rapidly, thanks to the development of the Chancay port. This new deepwater port, located 80 km north of Lima, offers a significant advantage over the traditional port of Callao. The Chancay port has a natural draft of 17.8 meters, allowing it to accommodate ultra-large container vessels (ULCVs) of up to 24,000 TEUs, whereas Callao's draft is limited to 16 meters.

This makes Chancay the first direct deepwater maritime corridor between South America and Asia-Pacific, reducing ocean transit times from 35-42 days to 22-28 days.

To better understand and visualize the impact of this maritime transformation, a team of engineers has developed an interactive web dashboard. This dashboard was built using pure Python, Streamlit, Plotly, and Seaborn, with data sourced from 2,400 validated container shipments provided by APN and Drewry. The project also includes an automated GitHub Actions CI/CD GitOps pipeline and continuous cloud deployment.

The dashboard aims to answer critical questions for supply chain planners, shipping lines, and export executives. For instance, it can help determine the potential savings in vessel bunker fuel and $CO_2$ emissions if 45% of Callao's container volume were to migrate to Chancay. Additionally, it can quantify the net savings in total supply chain expenditure if the shift occurs.

The dashboard is built on a robust data layer, anchored by APN and Drewry benchmarks from 2023-2025. It offers a real-time, interactive platform for exploring the benefits and challenges of the Chancay port's integration into the maritime logistics network.