EA
AI-performance/embedded-ai.bench
benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.
201 29 +0/wk
GitHub
android arm arm-neon artificial-intelligence benchmark deep-learning-framework deep-learning-inference embedded-ai inference ios mnn ncnn
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
AI-performance/embedded-ai.bench has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | embedded-ai.bench | kalavai-client | DaoCloud-docs | holohub |
|---|---|---|---|---|
| Stars | 201 | 201 | 201 | 201 |
| Forks | 29 | 8 | 220 | 144 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | Apache-2.0 | Apache-2.0 | Apache-2.0 |
Capability Radar vs kalavai-client
embedded-ai.bench
kalavai-client
Maintenance Activity 0
Last code push 1875 days ago.
Community Engagement 72
Fork-to-star ratio: 14.4%. 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.