NirDiamant/Prompt_Engineering

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

7.9k
Stars
1.0k
Forks
62.8
Radar Score
Stable
Momentum

Scoring Breakdown

Impact90.3
Velocity39.7
Health51.2

Growth Metrics

7-Day Stars
+10
30-Day Stars
+37
Acceleration
1.12x
Language
Jupyter Notebook

Why it ranks

Steady growth — consistently collecting stars and contributors.

LLM Frameworks · inference engineTop 95% globallyLast push 12d ago+10 stars / 7d+37 stars / 30d

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🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
80%
Moderate Confidence
License
NOASSERTION
Review license terms carefully before commercial adoption.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
62.8
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
  • Issue engagement: 0 open issues for 7,935 stars (0.0%).
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

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