EM
SmartFlowAI/EmoLLM
心理健康大模型 (LLM x Mental Health), Pre & Post-training & Dataset & Evaluation & Depoly & RAG, with InternLM / Qwen / Baichuan / DeepSeek / Mixtral / LLama / GLM series models
1.7k 218 -2/wk
GitHub
dataset depoly evaluation llm post-training the-big-model-of-mental-health
Trend
0
Star & Fork Trend (16 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
SmartFlowAI/EmoLLM has -2 stars this period . 7-day velocity: -0.1%.
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| Metric | EmoLLM | py-gpt | Klee | underthesea |
|---|---|---|---|---|
| Stars | 1.7k | 1.7k | 1.7k | 1.7k |
| Forks | 218 | 320 | 138 | 290 |
| Weekly Growth | -2 | +0 | +0 | +4 |
| Language | Python | Python | Swift | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | NOASSERTION | N/A | Apache-2.0 |
Capability Radar vs py-gpt
EmoLLM
py-gpt
Maintenance Activity 0
Last code push 232 days ago.
Community Engagement 63
Fork-to-star ratio: 12.7%. 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 MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.