WR
ragulpr/wtte-rnn
WTTE-RNN a framework for churn and time to event prediction
778 189 -2/wk
GitHub
churn-prediction failure-rate keras machine-learning-algorithms neural-network rnn tensorflow weibull
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
ragulpr/wtte-rnn has -2 stars this period . 7-day velocity: -0.3%.
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| Metric | wtte-rnn | text2art | Deep-SVDD-PyTorch | neurodiffeq |
|---|---|---|---|---|
| Stars | 778 | 778 | 778 | 778 |
| Forks | 189 | 196 | 210 | 102 |
| Weekly Growth | -2 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | NOASSERTION | MIT | MIT |
Capability Radar vs text2art
wtte-rnn
text2art
Maintenance Activity 0
Last code push 2071 days ago.
Community Engagement 100
Fork-to-star ratio: 24.3%. 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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.