neural_prophet VS tslearn

Compare neural_prophet vs tslearn 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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tslearn

The machine learning toolkit for time series analysis in Python (by tslearn-team)
time-series Timeseries time-series-analysis time-series-clustering Machine Learning machine-learning-algorithms Machinelearning Dtw Python time-series-classification dynamic-time-warping
Source Code
tslearn.readthedocs.io
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neural_prophet tslearn
5 51
3,630 2,773
- 1.2%
8.6 7.2
about 20 hours ago 15 days ago
Python Python
MIT License BSD 2-clause "Simplified" 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.

tslearn

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

What are some alternatives?

When comparing neural_prophet and tslearn 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

scikit-hts - Hierarchical Time Series Forecasting with a familiar API

sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

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.

pytorch-forecasting - Time series forecasting with PyTorch

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

Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

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

sysidentpy - A Python Package For System Identification Using NARMAX Models

R-Time-Series-Task-View-Supplement - R Time series packages not included in CRAN Task View: Time Series Analysis

neural_prophet vs darts tslearn vs sktime neural_prophet vs scikit-hts tslearn vs sktime-dl neural_prophet vs Kats tslearn vs pytorch-forecasting neural_prophet vs orbit tslearn vs Time-series-classification-and-clustering-with-Reservoir-Computing neural_prophet vs Prophet tslearn vs scikit-hts neural_prophet vs sysidentpy tslearn vs R-Time-Series-Task-View-Supplement