Side-by-Side Comparison
Model-Optimizer vs iggy
Compare open source repositories side by side. Stars, forks, code health, licensing, and community growth.
Recorded Stars Comparison
● NVIDIA/Model-Optimizer (4.9K)
● apache/iggy (5K)
☆ 4.9KModel-Optimizer stars
☆ 5Kiggy stars
+44Difference
iggyStar Leader
Side-by-Side Facts
| Metric | NVIDIA/Model-Optimizer ↗ | apache/iggy ↗ |
|---|---|---|
| Description | A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed. | Apache Iggy: Hyper-Efficient Message Streaming at Laser Speed |
| GitHub Stars | ☆ 4,912 | ☆ 4,956 |
| Forks | 680 | 449 |
| Open Issues | 428 | 223 |
| Main Language | Python | Rust |
| License | Apache-2.0 | Apache-2.0 |
| Last Push | Sep 27, 2026 | Sep 27, 2026 |
| GitHub Source | Open Source ↗ | Open Source ↗ |
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