FD
Fraud-Detection-Handbook/fraud-detection-handbook
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
688 211 +0/wk
GitHub
credit-card credit-card-fraud data-mining data-science fraud-detection machine-learning open-data
Trend
3
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Fraud-Detection-Handbook/fraud-detection-handbook has +0 stars this period . 7-day velocity: 0.1%.
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Signal-backed technical analysis will be available soon.
| Metric | fraud-detection-handbook | magpie | FfDL | vertex-ai-mlops |
|---|---|---|---|---|
| Stars | 688 | 688 | 689 | 687 |
| Forks | 211 | 190 | 187 | 309 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | Go | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | MIT | Apache-2.0 | Apache-2.0 |
Capability Radar vs magpie
fraud-detection-handbook
magpie
Maintenance Activity 0
Last code push 791 days ago.
Community Engagement 100
Fork-to-star ratio: 30.7%. 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.