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. (by facebookresearch)
tablespoon
🥄✨Time-series Benchmark methods that are Simple and Probabilistic (by alexhallam)
| Kats | tablespoon | |
|---|---|---|
| 79 | 9 | |
| 4,761 | 39 | |
| 0.6% | - | |
| 8.0 | 5.3 | |
| 1 day ago | 6 months 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.
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.
Kats
Posts with mentions or reviews of Kats.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-21.
tablespoon
Posts with mentions or reviews of tablespoon.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-01.
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Statistical vs. Deep Learning forecasting methods
I use my package https://github.com/alexhallam/tablespoon to generate naive forecasts then evaluate the crps of the naive vs the crps of the alternative method. This “skill score” approach is very good.
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I made a library that makes naive forecasting easy
Source code is here tablespoon
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[P] Time-series Benchmark methods that are Simple and Probabilistic
tablespoon makes generating these naive methods easy while taking advantage of Stan's efficient No U-Turn Sampler - much the same way Facebook Prophet it built on top of Stan.
- [P] tablespoon: Time-series Benchmark methods that are Simple and Probabilistic
- [P]
- GitHub - alexhallam/tablespoon: 🥄✨Time-series Benchmark methods that are Simple and Probabilistic
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✨Announcing development of a benchmark forecasting library to be used as alongside AI forecasting methods. ✨
I just started the development of tablespoon. The purpose of this package is to make time-series benchmark forecasts that are simple and probabilistic.
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Time-series Benchmark methods that are Simple and Probabilistic
tablespoon
What are some alternatives?
When comparing Kats and tablespoon you can also consider the following projects:
darts - A python library for user-friendly forecasting and anomaly detection on time series.
Bayeslite - BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
neural_prophet - NeuralProphet: A simple forecasting package
lambdo - Feature engineering and machine learning: together at last!
sktime - A unified framework for machine learning with time series
Numbers-Prophecy - An experiment to demonstrate the biases and predictability of our world.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.