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

../_images/uber_orbit-small.png

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 8 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)

2.5

Trend score (1 to 10, higher is better)

5.75

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 August 31, 2022.

Statistic

Lifetime

Last 12 Months

Commits

837

138

Lines committed

824,909

100,515

Unique committers

23

12

Core committers

7

7

../_images/uber_orbit-monthly-commits.png

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