awslabs / gluonts
Probabilistic time series modeling in Python
Why this job: works in the areas we cover, but does not say which job it does
What it does
GluonTS is a Python package for probabilistic time series modeling, focusing on deep learning based models, based on PyTorch.
Get started
# install with support for torch models
uv pip install "gluonts[torch]"- Maintenance
- Active
- Last commit 30 days ago
- Stars
- 5,260
- +2 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.17.0
- Released 3 months ago
- Built with
- Python
- 87% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 65% closed
- 344 still open
- Pull requests
- 1,596 merged
- 153 waiting
- Releases
- 114
- 3 in the last year
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More: languages, topics and project record
Languages
- Python 87%
- Jupyter Notebook 12%
- R <1%
- Shell <1%
Topics
- time-series
- deep-learning
- forecasting
- neural-networks
- machine-learning
- time-series-prediction
- time-series-forecasting
- mxnet
- pytorch
- aws
- sagemaker
- timeseries
Project record
- JobOther AI tools
- StatusListed
- Commits1,508
- Forks844
- Watching75
- Stars in 28 days+15
- CreatedMay 15, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026