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paiml/practical-mlops-book
[Book-2021] Practical MLOps O'Reilly Book
948 369 +0/wk
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cloud learning machine machine-learning oreilly-books paiml-legacy-book paiml-read-only practical-mlops python
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
paiml/practical-mlops-book has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | practical-mlops-book | llms-interview-questions | libxsmm | kaggle-titanic |
|---|---|---|---|---|
| Stars | 948 | 948 | 949 | 949 |
| Forks | 369 | 111 | 202 | 677 |
| Weekly Growth | +0 | +3 | +0 | +0 |
| Language | Jupyter Notebook | N/A | C | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | N/A | BSD-3-Clause | Apache-2.0 |
Capability Radar vs llms-interview-questions
practical-mlops-book
llms-interview-questions
Maintenance Activity 96
Last code push 13 days ago.
Community Engagement 100
Fork-to-star ratio: 38.9%. 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.