awslabs/gluonts
Probabilistic time series modeling in Python
This tool helps business analysts, data scientists, and researchers accurately predict future trends and events. You provide historical data, like monthly sales or website traffic, and it generates not just a single forecast, but a range of probable outcomes, showing the likelihood of different scenarios. This allows you to understand the uncertainty in your predictions.
5,142 stars. Used by 4 other packages. No commits in the last 6 months. Available on PyPI.
Use this if you need to generate reliable probabilistic forecasts for time-dependent data and want to understand the uncertainty associated with your predictions.
Not ideal if you only need simple point forecasts without any consideration for the probability distribution of future outcomes.
Stars
5,142
Forks
812
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 14, 2025
Commits (30d)
0
Dependencies
6
Reverse dependents
4
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