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Orbit

Bayesian forecasting provides better handling of uncertainty than other statistical forecasting approaches (e.g. ARIMA). Orbit provides an Sk-learn style interface to several Bayesian forecasting algorithms.

Logo
Website	https://orbit-ml.readthedocs.io/en/stable/
Repository	https://github.com/uber/orbit
Byline	A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
License	Apache 2.0
Project age	2 years 11 months
Backers	Uber (Creator and maintainer)
Lastest News (2022-01-11)	v1.1 The New Version of Orbit (v1.1) is Released: The Improvements, Design Changes, and Exciting Collaborations more
Size score (1 to 10, higher is better)	3.25
Trend score (1 to 10, higher is better)	5.5

Education Resources

URL	Resource Type	Description
https://arxiv.org/abs/2004.08492	Paper	Paper available on ArXiv.
https://www.uber.com/blog/orbit/	Blog	Blog post introducing Orbit (May 2021)
https://www.uber.com/blog/the-new-version-of-orbit-v1-1-is-released/	Blog	Blog post with overview of redesign for version 1.1 (January 2022)

Git Commit Statistics

Statistics computed using Git data through November 30, 2022.

Statistic	Lifetime	Last 12 Months
Commits	2,518	274
Lines committed	2,479,077	148,821
Unique committers	23	10
Core committers	7	7

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