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qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
1.2k 90 +0/wk
GitHub
anomalydetection autoscaling deeplearning forecasting foundation-models large-language-models large-models machinelearning pre-training rca timeseries
Trend
3
Star & Fork Trend (22 data points)
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qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM has +0 stars this period . 7-day velocity: 0.1%.
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| Metric | Awesome-TimeSeries-SpatioTemporal-LM-LLM | chunkhound | ChineseChess-AlphaZero | CodeBoarding |
|---|---|---|---|---|
| Stars | 1.2k | 1.2k | 1.2k | 1.2k |
| Forks | 90 | 95 | 364 | 104 |
| Weekly Growth | +0 | +4 | +1 | +3 |
| Language | N/A | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | GPL-3.0 | MIT |
Capability Radar vs chunkhound
Awesome-TimeSeries-SpatioTemporal-LM-LLM
chunkhound
Maintenance Activity 0
Last code push 473 days ago.
Community Engagement 37
Fork-to-star ratio: 7.5%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.