DeepADoTS VS Informer2020

Compare DeepADoTS vs Informer2020 and see what are their differences.


Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series". (by KDD-OpenSource)


The GitHub repository for the paper "Informer" accepted by AAAI 2021. (by zhouhaoyi)
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DeepADoTS Informer2020
1 1
417 2,081
3.6% -
0.0 6.8
5 months ago about 1 month ago
Python Python
MIT License Apache License 2.0
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.


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

What are some alternatives?

When comparing DeepADoTS and Informer2020 you can also consider the following projects:

neural_prophet - NeuralProphet: A simple forecasting package

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

pytorch-forecasting - Time series forecasting with PyTorch

Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time

luminaire - Luminaire is a python package that provides ML driven solutions for monitoring time series data.