uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
This helps business analysts, operations managers, or data scientists make reliable predictions about future trends or demand. You provide historical time-series data, and it outputs a forecast along with the expected range of outcomes. This is ideal for anyone needing to understand future values for planning, resource allocation, or strategic decision-making.
2,041 stars.
Use this if you need to forecast a single key metric over time, like sales, website traffic, or resource utilization, and want to understand the uncertainty in your predictions.
Not ideal if you need to forecast many interdependent variables simultaneously or if your primary goal is real-time anomaly detection rather than future prediction.
Stars
2,041
Forks
144
Language
Python
License
—
Category
Last pushed
Mar 03, 2026
Commits (30d)
0
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