ECC vs vllm
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| ECC | vllm | |
|---|---|---|
| Tagline | affaan-m/ECC | A high-throughput and memory-efficient inference and serving engine for LLMs |
| Stars | 227k | 86k |
| Forks | 35k | 19k |
| Open issues | 73 | 5.6k |
| Language | JavaScript | Python |
| License | MIT | Apache-2.0 |
| Last pushed | Jul 6, 2026 | Jul 7, 2026 |
| Categories | AI Agents, Developer Tools | Inference & Serving |
ECC
Performance optimization system for AI coding harnesses, delivering skills management, memory optimization, security scanning, and MCP configuration to streamline agentic workflows across multiple platforms.
JavaScript
vllm
vLLM is a fast and easy-to-use library designed for efficient Large Language Model (LLM) inference and serving. It includes state-of-the-art performance with features like PagedAttention, quantization support, optimized attention kernels, and seamless integration with Hugging Face models.
Python