aeon VS sktime

Compare aeon vs sktime and see what are their differences.

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aeon sktime
4 8
806 7,409
4.1% 1.1%
9.8 9.8
5 days ago 6 days ago
Python Python
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" 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.

aeon

Posts with mentions or reviews of aeon. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-15.

sktime

Posts with mentions or reviews of sktime. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-14.

What are some alternatives?

When comparing aeon and sktime you can also consider the following projects:

Swift-Server - A very basic proof-of-concept Swift HTTP server that does not require Foundation

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

Express - Swift Express is a simple, yet unopinionated web application server written in Swift

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

scikit-learn-ts - Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.

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

jan - Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. Multiple engine support (llama.cpp, TensorRT-LLM)

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.

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

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

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