MM
MiniMax-AI/MiniMax-M2
MiniMax-M2, a model built for Max coding & agentic workflows.
2.5k 202 +5/wk
GitHub
large-language-models llm
Trend
3
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
MiniMax-AI/MiniMax-M2 has +5 stars this period . 7-day velocity: 0.2%.
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Signal-backed technical analysis will be available soon.
| Metric | MiniMax-M2 | gluon-nlp | Lealone | mPLUG-Owl |
|---|---|---|---|---|
| Stars | 2.5k | 2.5k | 2.5k | 2.5k |
| Forks | 202 | 522 | 518 | 190 |
| Weekly Growth | +5 | +0 | +0 | +0 |
| Language | N/A | Python | Java | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | Apache-2.0 | NOASSERTION | MIT |
Capability Radar vs gluon-nlp
MiniMax-M2
gluon-nlp
Maintenance Activity 19
Last code push 147 days ago.
Community Engagement 40
Fork-to-star ratio: 7.9%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 52
+5 stars this period — 0.20% growth rate.
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.