ET
WB2024/Essentia-to-Metadata
Intelligent audio analysis and automatic genre/mood tagging using Essentia ML models
51 5 +1/wk
GitHub
audio-analysis essentia machine-learning metadata music music-tagging python
Trend
3
Star & Fork Trend (7 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
WB2024/Essentia-to-Metadata has +1 stars this period . 7-day velocity: 2.0%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | Essentia-to-Metadata | ToolRegistry | temodar-agent | CShade |
|---|---|---|---|---|
| Stars | 51 | 51 | 51 | 51 |
| Forks | 5 | 7 | 8 | 4 |
| Weekly Growth | +1 | +0 | +0 | +0 |
| Language | Python | Python | Python | HLSL |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | BSD-3-Clause |
Capability Radar vs ToolRegistry
Essentia-to-Metadata
ToolRegistry
Maintenance Activity 100
Last code push 5 days ago.
Community Engagement 49
Fork-to-star ratio: 9.8%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 100
+1 stars this period — 1.96% growth rate.
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.