fable
Tidy time series forecasting (by tidyverts)
forecast
Forecasting Functions for Time Series and Linear Models (by robjhyndman)
fable | forecast | |
---|---|---|
5 | 2 | |
553 | 1,099 | |
1.1% | - | |
6.8 | 7.1 | |
about 2 months ago | 25 days ago | |
R | R | |
GNU General Public License v3.0 only | - |
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.
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.
fable
Posts with mentions or reviews of fable.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-27.
- Fable: Forecasting Models for Tidy Time Series
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Has anyone ever had luck with the forecasting functionality?
Honestly more doable than you’d think. Download RStudio, copy the code from this page https://fable.tidyverts.org, consult ChatGPT until you’re able to get everything running as expected, sub in your data
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Daily Hospital admits time series forecasting
If you are using R, Rob Hyndman's fable package is the best alternative. If you are looking for a Python library, I recommend StatsForecast.
- Methods for filtering and smoothing time series
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Freedom degrees in ARMA(p,q)
For a throughout discussion of ARIMA models I recommend Hyndman's Forecasting: Principles and Practice book. If you are estimating ARIMA with R check Fable. If you are estimating ARIMA with Python StatsForecast.
forecast
Posts with mentions or reviews of forecast.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-30.
- Repost - R Package for Creating Linear Forecasting Models
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Ask HN: Data Scientists, what libraries do you use for timeseries forecasting?
As a few other people have mentioned, I find R to be the easiest tool for this job, specifically the forecast package [0]. I had to use this package for an applied econometrics course in college a few years ago, and I have been using it ever since. I find the syntax to be more straightforward than comparable libraries in Python. I also assume that this library (and other libraries in R) offer higher quality models and results than their counterparts in Python, but this is just an assumption.
[0] https://github.com/robjhyndman/forecast