cbaziotis/neat-vision

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

251 24 +0/wk

GitHub

attention attention-mechanism attention-mechanisms attention-scores attention-visualization deep-learning deep-learning-library deep-learning-visualization natural-language-processing nlp self-attention self-attentive-rnn

Trend 0

Star & Fork Trend (17 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 251

forks 24

Growth Velocity

cbaziotis/neat-vision 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	neat-vision	djl-serving	akaza	inferflow
Stars	251	251	250	250
Forks	24	87	10	23
Weekly Growth	+0	+0	+1	+0
Language	Vue	Java	Rust	C++
Sources	1	1	1	1
License	MIT	Apache-2.0	MIT	MIT

Capability Radar vs djl-serving

neat-vision

djl-serving

Maintenance Activity 0

Last code push 2896 days ago.

Community Engagement 48

Fork-to-star ratio: 9.6%. Lower fork ratio may indicate passive usage.

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 95

Licensed under MIT. Permissive — safe for commercial use.

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