MI
Farama-Foundation/Minari
A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
505 63 +0/wk
GitHub
datasets gymnasium offline-rl reinforcement-learning
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Star & Fork Trend (22 data points)
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Farama-Foundation/Minari has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Minari | LLM-Agents-Ecosystem-Handbook | real-world-rails | prodigy-recipes |
|---|---|---|---|---|
| Stars | 505 | 505 | 505 | 506 |
| Forks | 63 | 79 | 23 | 113 |
| Weekly Growth | +0 | +1 | +1 | +0 |
| Language | Python | Python | Shell | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | MIT | MIT | N/A |
Capability Radar vs LLM-Agents-Ecosystem-Handbook
Minari
LLM-Agents-Ecosystem-Handbook
Maintenance Activity 53
Last code push 88 days ago.
Community Engagement 62
Fork-to-star ratio: 12.5%. 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.
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