darts VS pytorch-forecasting

Compare darts vs pytorch-forecasting and see what are their differences.

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darts pytorch-forecasting
47 9
7,159 3,533
3.1% -
9.1 8.7
about 5 hours ago 7 days ago
Python Python
Apache License 2.0 MIT License
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.

pytorch-forecasting

Posts with mentions or reviews of pytorch-forecasting. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-14.

What are some alternatives?

When comparing darts and pytorch-forecasting you can also consider the following projects:

sktime - A unified framework for machine learning with time series

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

statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.

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.

Lime-For-Time - Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]