SA
stepfun-ai/Step-Audio-EditX
A powerful 3B-parameter, LLM-based Reinforcement Learning audio edit model excels at editing emotion, speaking style, and paralinguistics, and features robust zero-shot text-to-speech
897 62 +1/wk
GitHub
audio-editing cross-lingual emotion-control paralinguistics reinforcement-learning speaking-style style-control text-to-speech tts voice-cloning zero-shot-tts
Trend
3
Star & Fork Trend (37 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
stepfun-ai/Step-Audio-EditX has +1 stars this period . 7-day velocity: 0.3%.
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Signal-backed technical analysis will be available soon.
| Metric | Step-Audio-EditX | Jupyter | awesome-workflow-automation | bertsearch |
|---|---|---|---|---|
| Stars | 897 | 896 | 896 | 898 |
| Forks | 62 | 329 | 140 | 200 |
| Weekly Growth | +1 | +1 | +0 | +0 |
| Language | Python | Jupyter Notebook | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | MIT |
Capability Radar vs Jupyter
Step-Audio-EditX
Jupyter
Maintenance Activity 90
Last code push 24 days ago.
Community Engagement 35
Fork-to-star ratio: 6.9%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 47
+1 stars this period — 0.11% growth rate.
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.