orbit VS ETSformer

Compare orbit vs ETSformer and see what are their differences.

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orbit ETSformer
1 1
1,811 240
0.8% 6.7%
7.8 0.0
14 days ago over 1 year ago
Python Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" 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.

ETSformer

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

What are some alternatives?

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

neural_prophet - NeuralProphet: A simple forecasting package

time-series-transformers-review - A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

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.

Crossformer - Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

ruptures - ruptures: change point detection in Python

flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

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

LTSF-Linear - [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

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.

krisi - ⏳ Evaluation of Time-Series Predictions with powerful pdf and web Reporting. Tailored for evaluation of metrics over time!

ebisu - Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)