9 best Python Predictive Analytics libraries in 2025

The Python programming language is one of the most popular languages in data science. It allows to quickly build prototypes in a short amount of time, and it has a large community. Predictive Analytics is the branch of data analytics which makes use of historical data and statistical algorithms to predict future events. Predictive analytics is an important element in the fields of business intelligence, marketing, finance and operations. Prediction is a branch of machine learning that deals with estimating the future outcome on the basis of given set of predictor or independent variables. The algorithms and techniques used in predictive modeling are based on pattern recognition and statistical techniques. Some of the most widely used open source libraries for Python Predictive Analytics among developers include: Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction - Use NLP to predict stock price movement associated with news;Time-series-prediction - A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, nbeats; palladium - Framework for setting up predictive analytics services.