This paper presents a Python-based simulation program for 2D robot kinematics, featuring both forward and inverse kinematics calculations with real-time motion visualization. The forward kinematics module allows users to define arm lengths and joint angles, dynamically visualizing the robot’s movement based on input parameters. In the inverse kinematics module, users can define target points and trajectories, with the program calculating the necessary joint angles to guide the robotic arm along the specified path. The simulation leverages Python libraries, particularly Matplotlib for interactive animation and visualization, and NumPy for efficient mathematical computations. The program is designed to be highly accessible, offering an intuitive graphical interface that provides immediate visual feedback, making it a valuable tool for both educational and research purposes. It is particularly suited for learners and educators aiming to understand kinematic principles, as well as practitioners seeking an efficient tool for quick prototyping and simulation. The open-source nature of the program, combined with its simplicity and flexibility, enables customization and expansion, with potential future work extending its functionality to 3D kinematics and more advanced control features.