BE
xmartlabs/Bender
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
1.8k 89 +0/wk
GitHub
apple convolutional-neural-networks deep-learning deep-neural-networks ios iphone machine-learning metal neural-networks residual-networks swift
Trend
0
Star & Fork Trend (21 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
xmartlabs/Bender has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | Bender | whisper-turbo | machine-learning-experiments | sod |
|---|---|---|---|---|
| Stars | 1.8k | 1.8k | 1.8k | 1.8k |
| Forks | 89 | 83 | 330 | 213 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Swift | TypeScript | Jupyter Notebook | C |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | MIT | NOASSERTION |
Capability Radar vs whisper-turbo
Bender
whisper-turbo
Maintenance Activity 0
Last code push 884 days ago.
Community Engagement 70
Fork-to-star ratio: 4.9%. 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.