SB
open-spaced-repetition/srs-benchmark
A benchmark for spaced repetition schedulers/algorithms
210 24 +0/wk
GitHub
benchmark deep-learning fsrs machine-learning research rwkv spaced-repetition spaced-repetition-algorithm
Trend
0
Star & Fork Trend (14 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
open-spaced-repetition/srs-benchmark has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | srs-benchmark | herdr | Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision | pytorch_project_template |
|---|---|---|---|---|
| Stars | 210 | 210 | 211 | 211 |
| Forks | 24 | 15 | 63 | 31 |
| Weekly Growth | +0 | +11 | +0 | +0 |
| Language | Jupyter Notebook | Rust | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | AGPL-3.0 | MIT | MIT |
Capability Radar vs herdr
srs-benchmark
herdr
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 57
Fork-to-star ratio: 11.4%. Active community forking and contributing.
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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.