hastl VS aeon

Compare hastl vs aeon and see what are their differences.

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hastl aeon
2 4
9 806
- 4.1%
2.3 9.8
8 months ago 1 day ago
Python Python
MIT 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.

hastl

Posts with mentions or reviews of hastl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-31.
  • Where Futhark Shines?
    5 projects | /r/futhark | 31 Jan 2022
    Let us know how it goes! The maintainer of hastl says that using futhark-ffi to call Futhark code from Python works very well, and lets you use normal Python libraries for testing and such.

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.

What are some alternatives?

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

bfast - GPU Implementation for BFAST

sktime - A unified framework for machine learning with time series

futswirl - Fun with IFS fractals :boom:

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

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

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

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

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

PyPOTS - A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science tasks of imputation, classification, clustering, forecasting & anomaly detection on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data

timebasedcv - Time based splits for cross validation

Perfect - Server-side Swift. The Perfect core toolset and framework for Swift Developers. (For mobile back-end development, website and API development, and more…)

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