ST
EdanToledo/Stoix
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
403 46 +0/wk
GitHub
anakin deep-reinforcement-learning distributed-reinforcement-learning end-to-end jax pure-jax reinforcement-learning reinforcement-learning-algorithms research sarl sebulba single-agent
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
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Growth Velocity
EdanToledo/Stoix has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Stoix | ml_forge | NeuralFoil | appworld |
|---|---|---|---|---|
| Stars | 403 | 402 | 402 | 402 |
| Forks | 46 | 49 | 52 | 62 |
| Weekly Growth | +0 | +1 | +1 | +1 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | Apache-2.0 |
Capability Radar vs ml_forge
Stoix
ml_forge
Maintenance Activity 92
Last code push 21 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 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.