TensorBoard, an open-source visualization toolkit for TensorFlow, is widely used for tracking and analyzing machine learning experiments, though it has limitations in scalability, user experience, and collaboration features. As machine learning projects grow in complexity, users often seek alternatives that offer enhanced capabilities. Neptune is highlighted as a prime alternative, offering robust scalability, a user-friendly interface, and strong collaboration tools, making it suitable for large-scale projects and team environments. Other alternatives include Guild AI, Sacred, Weights & Biases (WandB), and Comet, each providing distinct features such as integration with various programming languages, team collaboration tools, and comprehensive tracking and visualization functionalities. While TensorBoard is beneficial for beginners or smaller scale experiments, these alternatives present advanced options for users seeking more comprehensive solutions for experiment tracking and management.