JO
jolibrain/joliGEN
Generative AI Image and Video Toolset with GANs and Diffusion for Real-World Applications
281 41 +0/wk
GitHub
augmented-reality deep-learning diffusion-models gan generative-model image-generation image-to-image pytorch
Trend
3
Star & Fork Trend (28 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
jolibrain/joliGEN has +0 stars this period . 7-day velocity: 0.4%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | joliGEN | docs | relevanceai | OctoPrint-OctoEverywhere |
|---|---|---|---|---|
| Stars | 281 | 283 | 279 | 279 |
| Forks | 41 | 901 | 44 | 32 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | Apache-2.0 | Apache-2.0 | AGPL-3.0 |
Capability Radar vs docs
joliGEN
docs
Maintenance Activity 100
Last code push 4 days ago.
Community Engagement 73
Fork-to-star ratio: 14.6%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.