The increasing interdependence between distribution and communication networks highlights the need for tools that address challenges in operating, controlling, and monitoring electrical systems. Co-simulation frameworks are essential for facilitating exhaustively examinations of these systems. An excellent option for create Distribution Management Systems (DMS) is OpenDSS, the Open Distribution System Simulator, is a versatile platform that offers features such as automation, dynamic libraries, and text-based scripting. These features permit the integration of state-of-the-art applications in the field. This paper explores the use of OpenDSS, coupled with controller software as Python, as a co-simulation infrastructure for academic and research purposes. It focuses on applications like State Estimation which is essential tool for system monitoring. Using the IEEE 13-bus test feeder under varying operational scenarios, the results highlight the advantages of a robust and adaptable architecture for modern power system analysis.