orbit
neural_prophet
orbit | neural_prophet | |
---|---|---|
1 | 5 | |
1,805 | 3,644 | |
0.4% | - | |
7.8 | 8.6 | |
about 1 month ago | 17 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
orbit
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Uber Releases V1.1 of Orbit: A Python Package to Perform Bayesian Time-Series Analysis and Forecasting
Github: https://github.com/uber/orbit
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
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[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
What are some alternatives?
pmdarima - A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
ruptures - ruptures: change point detection in Python
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.
pyro - Deep universal probabilistic programming with Python and PyTorch
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
fracdiff - Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.
sysidentpy - A Python Package For System Identification Using NARMAX Models
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
Informer2020 - The GitHub repository for the paper "Informer" accepted by AAAI 2021.