The correct answer is C. Prophet.
Prophet is a forecasting tool built on top of Facebook Prophet, which is a popular open-source library for time series forecasting. Prophet is designed to be easy to use and highly customizable, and it can be used to forecast a wide variety of time series data, including sales, website traffic, and financial data.
Statsmodels is a Python library that provides a wide range of statistical and econometric tools. It can be used for tasks such as time series analysis, regression analysis, and hypothesis testing. However, it is not specifically designed for time series forecasting or anomaly detection.
Seaborn is a Python library that provides a high-level interface for data visualization. It can be used to create beautiful and informative visualizations of time series data. However, it is not specifically designed for time series forecasting or anomaly detection.
Pandas is a Python library that provides high-performance, easy-to-use data structures and data analysis tools for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data. It is not specifically designed for time series forecasting or anomaly detection.
In conclusion, Prophet is the best Python library for time series forecasting and anomaly detection. It is easy to use, highly customizable, and can be used to forecast a wide variety of time series data.