DeepADoTS VS neural_prophet

Compare DeepADoTS vs neural_prophet and see what are their differences.

Our great sponsors
  • Scout APM - Less time debugging, more time building
  • OPS - Build and Run Open Source Unikernels
  • SonarQube - Static code analysis for 29 languages.
DeepADoTS neural_prophet
1 4
416 1,995
3.4% -
0.0 9.1
5 months ago 8 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.


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


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 2021-12-22.

What are some alternatives?

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

darts - A python library for easy manipulation and forecasting of time series.

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.

sysidentpy - A Python Package For System Identification Using NARMAX Models

tslearn - A machine learning toolkit dedicated to time-series data

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

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

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.

kafka-crypto-questdb - Using Kafka to track cryptocurrency price trends

Forecasting_Mutual_Funds - This Project gives you an overall idea for Forecasting Mutual Funds

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


flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).