ThymeBoost Alternatives

Similar projects and alternatives to ThymeBoost

LazyProphet

2 74 0.0 Python ThymeBoost VS LazyProphet

Time Series Forecasting with LightGBM
InfluxDB

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Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better ThymeBoost alternative or higher similarity.

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ThymeBoost reviews and mentions

Posts with mentions or reviews of ThymeBoost. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-03.

Having trouble deseasonalising multiple parallel time series
1 project | /r/datascience | 2 Jun 2023

As for Prophet itself, it generally gives you very smooth seasonality due to it's fitting procedure. I hate to always plug my stuff but you could try out ThymeBoost . Specifically passing seasonal_estimator='classic' (and I always like trend_estimator=['linear', 'ses']) as that would be a simple average of seasonal periods so it wouldn't be smoothed at all unless the periods aren't all spikey.
Best Python library for time series univariant stationary data prediction?[D]
2 projects | /r/MachineLearning | 3 Oct 2022

If you are feeling adventurous you could try some of my packages: ThymeBoost or LazyProphet. ThymeBoost is interesting as it is gradient boosting around time series decomposition. So you will still have the trend/seasonality decomposition but with more exotic methods. LazyProphet is just some feature engineering for time series fed into Lightgbm but it tends to perform well enough. Both tend to outperform fbprophet although that generally isn't too hard to do and they both have automatic fitting procedure that performs ok.