amitshekhariitbhu/transformers-explained
Transformer architecture explained step by step - the full architecture, every attention variant, positional embeddings, and every layer inside a Transformer.
230
Stars
25
Forks
36.5
Radar Score
Stable
Momentum
Scoring Breakdown
Impact32.1
Velocity36.3
Health44.0
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
—
Why it ranks
Steady growth — consistently collecting stars and contributors.
RAG · vector databaseTop 68% globally
Popular Alternatives & Competitors
Top projects in the same category (RAG) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
70%
Moderate Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
36.5
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Issue engagement: 0 open issues for 230 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.
Share & Embed
Display live Radar metrics in your documentation, website, or social profiles.