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TristanBilot/mlx-benchmark
Benchmark of Apple MLX operations on all Apple Silicon chips (GPU, CPU) + MPS and CUDA.
220 31 +2/wk
GitHub
apple-silicon benchmark deep-learning machine-learning mlx pytorch
Trend
3
Star & Fork Trend (15 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
TristanBilot/mlx-benchmark has +2 stars this period . 7-day velocity: 0.9%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | mlx-benchmark | truss-examples | AutoHarness | Awesome-model-inversion-attack |
|---|---|---|---|---|
| Stars | 220 | 221 | 219 | 218 |
| Forks | 31 | 60 | 10 | 15 |
| Weekly Growth | +2 | +1 | +8 | +0 |
| Language | Python | Python | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | N/A |
Capability Radar vs truss-examples
mlx-benchmark
truss-examples
Maintenance Activity 100
Last code push 2 days ago.
Community Engagement 70
Fork-to-star ratio: 14.1%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 95
+2 stars this period — 0.91% growth rate.
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.