TL
KimMeen/Time-LLM
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
2.6k 463 +2/wk
GitHub
cross-modal-learning cross-modality deep-learning language-model large-language-models machine-learning multimodal-deep-learning multimodal-time-series prompt-tuning time-series time-series-analysis time-series-forecast
Trend
3
Star & Fork Trend (27 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
KimMeen/Time-LLM has +2 stars this period . 7-day velocity: 0.1%.
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| Metric | Time-LLM | mctx | HarvestText | neural-compressor |
|---|---|---|---|---|
| Stars | 2.6k | 2.6k | 2.6k | 2.6k |
| Forks | 463 | 208 | 339 | 302 |
| Weekly Growth | +2 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | MIT | Apache-2.0 |
Capability Radar vs mctx
Time-LLM
mctx
Maintenance Activity 3
Last code push 175 days ago.
Community Engagement 89
Fork-to-star ratio: 17.8%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 45
+2 stars this period — 0.08% growth rate.
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.