MI
Natooz/MidiTok
MIDI / symbolic music tokenizers for Deep Learning models 🎶
859 99 -1/wk
GitHub
deep-learning generative-model machine-learning midi music music-generation music-information-retrieval
Trend
0
Star & Fork Trend (36 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Natooz/MidiTok has -1 stars this period . 7-day velocity: -0.1%.
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Signal-backed technical analysis will be available soon.
| Metric | MidiTok | segan | meshgpt-pytorch | Medical-Transformer |
|---|---|---|---|---|
| Stars | 859 | 859 | 859 | 858 |
| Forks | 99 | 281 | 69 | 177 |
| Weekly Growth | -1 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | MIT |
Capability Radar vs segan
MidiTok
segan
Maintenance Activity 100
Last code push 8 days ago.
Community Engagement 58
Fork-to-star ratio: 11.5%. 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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.