Nixtla/nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
Star & Fork Trend (36 data points)
Multi-Source Signals
Growth Velocity
Nixtla/nixtla has +4 stars this period . 7-day velocity: 0.2%.
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| Metric | nixtla | course | Dive-into-DL-TensorFlow2.0 | ruby_llm |
|---|---|---|---|---|
| Stars | 3.8k | 3.8k | 3.8k | 3.8k |
| Forks | 322 | 1.3k | 820 | 416 |
| Weekly Growth | +4 | +1 | +0 | +3 |
| Language | Jupyter Notebook | MDX | Jupyter Notebook | Ruby |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | Apache-2.0 | Apache-2.0 | MIT |
Capability Radar vs course
Last code push 2 days ago.
Fork-to-star ratio: 8.4%. Lower fork ratio may indicate passive usage.
Issue data not yet available.
+4 stars this period — 0.10% growth rate.
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.