DoubangoTelecom/ultimateALPR-SDK

World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).

714 175 +0/wk

GitHub

alpr amlogic-npu android anpr anpr-sdk artificial-intelligence deep-learning jetson jetson-nano khadas-vim3 khadas-vims-boards license-plate

Trend 0

Star & Fork Trend (26 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 714

forks 175

Growth Velocity

DoubangoTelecom/ultimateALPR-SDK 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	ultimateALPR-SDK	UCR_Time_Series_Classification_Deep_Learning_Baseline	dcscn-super-resolution	samples
Stars	714	714	714	713
Forks	175	207	219	384
Weekly Growth	+0	+0	+0	+0
Language	C++	Python	Python	Python
Sources	1	1	1	1
License	NOASSERTION	N/A	MIT	Apache-2.0

Capability Radar vs UCR_Time_Series_Classification_Deep_Learning_Baseline

ultimateALPR-SDK

UCR_Time_Series_Classification_Deep_Learning_Baseline

Maintenance Activity 15

Last code push 154 days ago.

Community Engagement 100

Fork-to-star ratio: 24.5%. Active community forking and contributing.

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 30

No clear license detected — proceed with caution.

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