timemachines
scikit-hts
timemachines | scikit-hts | |
---|---|---|
10 | - | |
380 | 219 | |
- | - | |
3.3 | 1.4 | |
11 months ago | 12 months ago | |
Python | Python | |
MIT License | MIT License |
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.
timemachines
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So, You Recommended a Python Time-Series Package … Now What?
Good question. Tried filing a feature request or discussion on their repo? Or one idea would be to chase prophet's residuals, somewhat similar to this: https://github.com/microprediction/timemachines/blob/main/timemachines/skaters/proph/prophskaterscomposed.py
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Is Facebook's “Prophet” the Time-Series Messiah, or Just a Naughty Boy?
I'll try to add notebook examples at https://www.microprediction.com/blog/popular-timeseries-pack... and get some pytorch-forecasting Elo ratings going. As an aside, anyone who wants to see a particular approach get rated is welcome to help! It amounts to creating a "skater" which is a simple functional form of forecasting.
- Simple pure function representations of popular time series packages.
scikit-hts
We haven't tracked posts mentioning scikit-hts yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
darts - A python library for user-friendly forecasting and anomaly detection on time series.
neural_prophet - NeuralProphet: A simple forecasting package
stingray - Anything can happen in the next half hour (including spectral timing made easy)!
sktime - A unified framework for machine learning with time series
R-Time-Series-Task-View-Supplement - R Time series packages not included in CRAN Task View: Time Series Analysis
tslearn - The machine learning toolkit for time series analysis in Python
m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.