Path planning and obstacle avoidance form the basis of the UAV operations. The objective of an Unmanned Aerial Vehicle (UAV) is to navigate an optimal path towards its destination while ensuring the avoidance of the obstacles along the way. Several algorithms have been proposed by many researchers to achieve this objective. In this paper, we focused on Global pathplanning algorithms for UAVs with obstacle avoidance. We compare various algorithms by highlighting their characteristics, advantages, and limitations. In addition, this paper implements four of the most well-known methods that tackle environmental challenges. Our results offer practical insights and guidance for researchers seeking to develop more effective path planning algorithms for UAVs.