neural_prophet
Prophet
| neural_prophet | Prophet | |
|---|---|---|
| 5 | 222 | |
| 3,653 | 17,806 | |
| - | 0.9% | |
| 8.6 | 6.2 | |
| 4 days ago | 6 days 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.
neural_prophet
- Facebook Prophet: library for generating forecasts from any time series data
- Time series analysis of Bitcoin price in Python with fbprophet ?!
- 14 September 2021 - Daily Chat Thread
-
[D] Stock prediction using lstm(plz help)
NeuralProphet
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Financial time-series data forecasting - any other tools besides Prophet?
Neural Prophet: https://github.com/ourownstory/neural_prophet
Prophet
- TimesFM (Time Series Foundation Model) for time-series forecasting
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Moirai: A Time Series Foundation Model for Universal Forecasting
https://facebook.github.io/prophet/
"Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well."
- prophet: NEW Data - star count:17116.0
- prophet: NEW Data - star count:17082.0
- Facebook Prophet: library for generating forecasts from any time series data
- prophet: NEW Data - star count:16196.0
- prophet: NEW Data - star count:15889.0
What are some alternatives?
darts - A python library for user-friendly forecasting and anomaly detection on time series.
tensorflow - An Open Source Machine Learning Framework for Everyone
scikit-hts - Hierarchical Time Series Forecasting with a familiar API
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.
scikit-learn - scikit-learn: machine learning in Python
orbit - A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
sysidentpy - A Python Package For System Identification Using NARMAX Models
greykite - A flexible, intuitive and fast forecasting library
Informer2020 - The GitHub repository for the paper "Informer" accepted by AAAI 2021.
MLflow - Open source platform for the machine learning lifecycle