FF
IBM/FfDL
Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes
689 187 +0/wk
GitHub
ai artificial-intelligence caffe deep-learning deep-neural-networks deeplearning ibm-research-ai jupyter keras kubernetes-cluster machine-learning ml
Trend
0
Star & Fork Trend (23 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
IBM/FfDL has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | FfDL | awesome-open-data-annotation | vertex-ai-samples | Transformer-TTS |
|---|---|---|---|---|
| Stars | 689 | 689 | 689 | 689 |
| Forks | 187 | 61 | 272 | 140 |
| Weekly Growth | +0 | +0 | -2 | +0 |
| Language | Go | N/A | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | Apache-2.0 | MIT |
Capability Radar vs awesome-open-data-annotation
FfDL
awesome-open-data-annotation
Maintenance Activity 64
Last code push 69 days ago.
Community Engagement 100
Fork-to-star ratio: 27.1%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.