LS
guqiong96/Lsglang
Lsglang is a special extension of sglang that fully utilizes CPU and GPU computing resources with an efficient GPU parallel + NUMA parallel architecture, suitable for MOE model hybrid inference.
52 5 +1/wk
GitHub
cpu decode gpu hybird inference model moe numa parallelism prefill sglang
Trend
3
Star & Fork Trend (15 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
guqiong96/Lsglang has +1 stars this period . 7-day velocity: 2.0%.
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Signal-backed technical analysis will be available soon.
| Metric | Lsglang | openclaw-engram | garycli | dna-memory |
|---|---|---|---|---|
| Stars | 52 | 52 | 52 | 52 |
| Forks | 5 | 11 | 3 | 13 |
| Weekly Growth | +1 | +1 | +1 | +1 |
| Language | Python | TypeScript | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | Apache-2.0 | Apache-2.0 |
Capability Radar vs openclaw-engram
Lsglang
openclaw-engram
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 48
Fork-to-star ratio: 9.6%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 100
+1 stars this period — 1.92% growth rate.
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.