neural_prophet VS Kats

Compare neural_prophet vs Kats and see what are their differences.

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. (by facebookresearch)
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neural_prophet Kats
5 79
3,630 4,750
- 1.1%
8.6 8.0
7 days ago 6 days 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.

Kats

Posts with mentions or reviews of Kats. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-21.

What are some alternatives?

When comparing neural_prophet and Kats you can also consider the following projects:

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

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

sktime - A unified framework for machine learning with time series

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

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

datascience - Curated list of Python resources for data science.

sysidentpy - A Python Package For System Identification Using NARMAX Models

catch22 - catch22: CAnonical Time-series CHaracteristics

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

tablespoon - 🥄✨Time-series Benchmark methods that are Simple and Probabilistic