Prophet VS darts

Compare Prophet vs darts and see what are their differences.

Prophet

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

darts

A python library for user-friendly forecasting and anomaly detection on time series. (by unit8co)
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Prophet darts
214 42
15,904 5,908
1.5% 5.0%
8.5 6.9
10 days ago 7 days ago
Python Python
MIT License 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.

Prophet

Posts with mentions or reviews of Prophet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-15.

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 2023-04-13.

What are some alternatives?

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

tensorflow - An Open Source Machine Learning Framework for Everyone

sktime - A unified framework for machine learning with time series

pytorch-forecasting - Time series forecasting with PyTorch

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

scikit-learn - scikit-learn: machine learning in Python

greykite - A flexible, intuitive and fast forecasting library

MLflow - Open source platform for the machine learning lifecycle

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

Keras - Deep Learning for humans