neural_prophet VS scikit-hts

Compare neural_prophet vs scikit-hts and see what are their differences.

neural_prophet

NeuralProphet: A simple forecasting package (by ourownstory)
Forecasting time-series Machine Learning Fbprophet prophet Forecast Artificial intelligence Prediction Trend seasonality autoregression Pytorch Timeseries forecasting-algorithm forecasting-model neuralprophet Neural neural-network Python Deep Learning
Source Code
neuralprophet.com
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scikit-hts

Hierarchical Time Series Forecasting with a familiar API (by carlomazzaferro)
time-series Machine Learning hierarchical-data Fbprophet Statsmodels exponential-smoothing time-series-analysis scikit-learn
Source Code
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neural_prophet scikit-hts
5 -
3,630 219
- -
8.6 1.4
about 12 hours ago 11 months ago
Python Python
MIT License 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.

neural_prophet

Posts with mentions or reviews of neural_prophet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-26.

scikit-hts

Posts with mentions or reviews of scikit-hts. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning scikit-hts yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing neural_prophet and scikit-hts you can also consider the following projects:

darts - A python library for user-friendly forecasting and anomaly detection on time series.

sktime - A unified framework for machine learning with time series

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.

tslearn - The machine learning toolkit for time series analysis in Python

orbit - A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

timemachines - Predict time-series with one line of code.

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

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

sysidentpy - A Python Package For System Identification Using NARMAX Models

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

Informer2020 - The GitHub repository for the paper "Informer" accepted by AAAI 2021.

neural_prophet vs darts scikit-hts vs sktime neural_prophet vs Kats scikit-hts vs tslearn neural_prophet vs orbit scikit-hts vs timemachines neural_prophet vs Prophet scikit-hts vs m2cgen neural_prophet vs sysidentpy scikit-hts vs statsforecast neural_prophet vs Informer2020 neural_prophet vs tslearn