Darts, an unbeatable Python library!

Hello everyone, today I will share with you an unbeatable Python library — dark.

Github address: https://github.com/unit8co/darts

With the development of data science, time series data analysis and prediction have become important skills in the field of data science. Time series data is widely used in fields such as finance, meteorology, market analysis, and supply chain management. There are also many libraries in the Python community specifically designed for time series processing and prediction.DartsIt is an open-source library designed specifically for time series data, providing a variety of models including classic statistical models, deep learning models, and machine learning models to help users quickly achieve efficient time series modeling and prediction.

install

DartsCan be done throughpipInstallation, but due to its many dependencies, it is recommended to install in a virtual environment.

pip install darts

After installation, you can import it into the projectDartsAnd use the time series processing tools provided by it.

characteristic

DartsProvides a range of powerful features suitable for time series processing and prediction.

1. Multi model support Supports classical statistical models (such as ARIMA), machine learning models (such as LightGBM), and deep learning models (such as RNN).