QN
dingran/quant-notes
Quantitative Interview Preparation Guide, updated version here ==>
927 135 +0/wk
GitHub
calculus coding-interviews data-science deep-learning finance interview-preparation interview-questions linear-algebra machine-learning numerical-methods optimization probability
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
dingran/quant-notes has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | quant-notes | Coursera | NISQA | MocapNET |
|---|---|---|---|---|
| Stars | 927 | 927 | 927 | 927 |
| Forks | 135 | 661 | 150 | 143 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Jupyter Notebook | Python | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | N/A | MIT | NOASSERTION |
Capability Radar vs Coursera
quant-notes
Coursera
Maintenance Activity 0
Last code push 2573 days ago.
Community Engagement 73
Fork-to-star ratio: 14.6%. 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.