MF
matt-k-wong/mlx-flash
Flash weight streaming for MLX: run massive models larger than your RAM on Apple Silicon.
78 6 +0/wk
GitHub
apple-silicon large-language-models llm llm-inference lm-studio machine-learning macos memory-optimization metal mlx optimization weight-streaming
Trend
3
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
matt-k-wong/mlx-flash has +0 stars this period . 7-day velocity: 2.6%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | mlx-flash | toktrack | torch-pme | robot-control-stack |
|---|---|---|---|---|
| Stars | 78 | 78 | 78 | 78 |
| Forks | 6 | 6 | 9 | 7 |
| Weekly Growth | +0 | +0 | +0 | +1 |
| Language | Python | Rust | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | BSD-3-Clause | AGPL-3.0 |
Capability Radar vs toktrack
mlx-flash
toktrack
Maintenance Activity 100
Last code push 8 days ago.
Community Engagement 38
Fork-to-star ratio: 7.7%. 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.