facebook/prophet in 2023 and beyond

Since <a href="https://seanjtaylor.com/" rel="noopener ugc nofollow" target="_blank">Sean Taylor</a> and <a href="http://lethalletham.com/" rel="noopener ugc nofollow" target="_blank">Ben Letham</a> open-sourced <a href="https://facebook.github.io/prophet/" rel="noopener ugc nofollow" target="_blank">Prophet</a> in 2017, it has remained a popular tool for forecasting time series, especially in business and planning contexts where we want to model human activity and consumption (e.g. website traffic, video hours watched). To January 2023, the Python package has been downloaded over 16 million times via PyPI, and continues to see 1 million downloads per month. However, long-time users would have realised that releases have slowed down over the last few years, and in this post we’ll walk through our future plans for the package and how we envision it fitting with the rest of the forecasting ecosystem. <a href="https://medium.com/@cuongduong_35162/facebook-prophet-in-2023-and-beyond-c5086151c138">Visit Now</a>