ME

rtr46/meikiocr

high-speed, high-accuracy, local ocr for japanese video games

69 3 +0/wk
GitHub
computer-vision deep-learning japanese japanese-language-learners japanese-study ocr ocr-demo ocr-detection ocr-recognition onnx onnxruntime python
Trend 0

Star & Fork Trend (17 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

rtr46/meikiocr 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 meikiocr model-training-and-deployment DL-Foundation-Models-Weather trident
Stars 69 696969
Forks 3 20108
Weekly Growth +0 +0+0+0
Language Python N/AN/AHTML
Sources 1 111
License Apache-2.0 Apache-2.0N/AMIT

Capability Radar vs model-training-and-deployment

meikiocr
model-training-and-deployment
Maintenance Activity 100

Last code push 8 days ago.

Community Engagement 68

Fork-to-star ratio: 4.3%. 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 Apache-2.0. Permissive — safe for commercial use.

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