FL
ByteDance-Seed/FlexPrefill
Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
168 9 +0/wk
GitHub
large-language-models natural-language-processing research sparse-attention
Trend
3
Star & Fork Trend (20 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
ByteDance-Seed/FlexPrefill has +0 stars this period . 7-day velocity: 0.6%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | FlexPrefill | flowcraft | ResearcherSkill | model2vec-rs |
|---|---|---|---|---|
| Stars | 168 | 168 | 168 | 167 |
| Forks | 9 | 9 | 18 | 17 |
| Weekly Growth | +0 | +0 | +2 | +0 |
| Language | Python | TypeScript | Python | Rust |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | MIT |
Capability Radar vs flowcraft
FlexPrefill
flowcraft
Maintenance Activity 1
Last code push 178 days ago.
Community Engagement 27
Fork-to-star ratio: 5.4%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.