MO
business-science/modeltime
Modeltime unlocks time series forecast models and machine learning in one framework
575 86 +0/wk
GitHub
arima data-science deep-learning ets forecasting machine-learning machine-learning-algorithms modeltime prophet r-package tbats tidymodeling
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
business-science/modeltime has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | modeltime | pytorch-dense-correspondence | clDNN | Finding-missing-person-using-AI |
|---|---|---|---|---|
| Stars | 575 | 575 | 575 | 575 |
| Forks | 86 | 134 | 112 | 159 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | R | Python | C++ | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | NOASSERTION | N/A | N/A |
Capability Radar vs pytorch-dense-correspondence
modeltime
pytorch-dense-correspondence
Maintenance Activity 65
Last code push 68 days ago.
Community Engagement 75
Fork-to-star ratio: 15.0%. Active community forking and contributing.
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.