orbit VS pmdarima

Compare orbit vs pmdarima and see what are their differences.

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. (by alkaline-ml)
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orbit pmdarima
1 1
1,805 1,518
0.4% 0.9%
7.8 5.2
about 1 month ago 2 months ago
Python Python
GNU General Public License v3.0 or later 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.

orbit

Posts with mentions or reviews of orbit. We have used some of these posts to build our list of alternatives and similar projects.

pmdarima

Posts with mentions or reviews of pmdarima. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing orbit and pmdarima you can also consider the following projects:

neural_prophet - NeuralProphet: A simple forecasting package

darts - A python library for user-friendly forecasting and anomaly detection on time series.

ruptures - ruptures: change point detection in Python

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pytorch-forecasting - Time series forecasting with PyTorch

pyro - Deep universal probabilistic programming with Python and PyTorch

fracdiff - Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.

atspy - AtsPy: Automated Time Series Models in Python (by @firmai)

statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.