darts VS statsforecast

Compare darts vs statsforecast and see what are their differences.

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darts statsforecast
47 58
7,130 3,468
3.1% 3.6%
9.1 8.9
7 days ago 3 days ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

darts

Posts with mentions or reviews of darts. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-10.

statsforecast

Posts with mentions or reviews of statsforecast. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-13.

What are some alternatives?

When comparing darts and statsforecast you can also consider the following projects:

sktime - A unified framework for machine learning with time series

pytorch-forecasting - Time series forecasting with PyTorch

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

nixtla - Python SDK for TimeGPT, a foundational time series model

neural_prophet - NeuralProphet: A simple forecasting package

neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.

mlforecast - Scalable machine 🤖 learning for time series forecasting.

greykite - A flexible, intuitive and fast forecasting library