TE

poloclub/transformer-explainer

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

7.1k 755 +6/wk
GitHub
deep-learning generative-ai gpt langauge-model llm visualization
Trend 3

Star & Fork Trend (44 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

poloclub/transformer-explainer has +6 stars this period . 7-day velocity: 0.2%.

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Signal-backed technical analysis will be available soon.

Metric transformer-explainer OpenNMT-py SerpentAI openllmetry
Stars 7.1k 7.0k7.0k7.0k
Forks 755 2.3k801921
Weekly Growth +6 +0+1+2
Language JavaScript PythonPythonPython
Sources 1 111
License MIT MITMITApache-2.0

Capability Radar vs OpenNMT-py

transformer-explainer
OpenNMT-py
Maintenance Activity 100

Last code push 6 days ago.

Community Engagement 53

Fork-to-star ratio: 10.7%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 45

+6 stars this period — 0.08% growth rate.

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.