// Model weights & research code
awslabs/gluonts
Probabilistic time series modeling in Python
Official · AWS LabsApache-2.0Active
01Overview
awslabs/gluonts is an official AWS Labs repository in our “Model weights & research code” category, written mainly in Python and licensed under Apache-2.0. As of 2026-10-23 it has 5,250 stars and 842 forks, ranking #35 of 56 tracked Model weights & research code repos and #793 of all 1046 repos we track. It was created on 2019-05-15 (about 7.4 years ago); the latest commit is from 2026-10-13, 10 days before our data date. The latest release is v0.17.0 (2026-07-31), with 0 releases in the last 30 days.
GitHub topics:artificial-intelligenceawsdata-sciencedeep-learningforecastingmachine-learningmxnetneural-networkspytorchsagemakertime-seriestime-series-forecastingtime-series-predictiontimeseriestorch
No releases in the last 30 days.
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What licence does gluonts use?
Apache-2.0, as shown on GitHub. Check the LICENSE file in awslabs/gluonts before commercial use.
Is gluonts still maintained?
The last commit was on 2026-10-13 (10 days before 2026-10-23) and the latest release is v0.17.0 from 2026-07-31.
How popular is gluonts among Model weights & research code projects?
#35 of 56 by stars (5,250). The most-starred in this category is deepseek-ai/DeepSeek-V3 (105k).