PY
PlaytikaOSS/pybandits
Python library for Multi-Armed Bandits
52 4 +0/wk
GitHub
bayesian-neural-networks contextual-bandit-algorithms contextual-bandits multi-armed-bandit multi-armed-bandits multiarmed-bandits offline-policy-evaluation reinforcement-learning stochastic-bandit stochastic-bandit-algorithms thompson-sampling
Trend
1
Star & Fork Trend (6 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
PlaytikaOSS/pybandits has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | pybandits | optunahub-registry | dislib | reshapr |
|---|---|---|---|---|
| Stars | 52 | 52 | 52 | 52 |
| Forks | 4 | 56 | 26 | 6 |
| Weekly Growth | +0 | +0 | +0 | +1 |
| Language | Python | Jupyter Notebook | Python | Java |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | MIT | Apache-2.0 | Apache-2.0 |
Capability Radar vs optunahub-registry
pybandits
optunahub-registry
Maintenance Activity 100
Last code push 1 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.