vLLM is a high-throughput inference engine for serving large language models at scale. This gallery lists 332 open-source projects built with vLLM, most of them in AI & ML, DevTools and Docs, ranked by GitHub stars so the most-adopted repositories come first.
Projects are public GitHub repositories found with the GitHub search query “topic:vllm” and at least 10 stars. Each repository is checked against vLLM’s languages and ecosystem before it is categorized, and stars, forks and last-commit dates come straight from the GitHub API, refreshed daily (current snapshot: October 6, 2026). Nothing here is paid placement.
Step-by-step migration guidance to adopt vLLM as the inference/serving backend for Haystack orchestration. Includes suitability, inventory, phased plan, tests, data/API considerations, and rollback gates.
A practical, evidence-grounded ecosystem map for vLLM covering the core repository, integration patterns, evaluation criteria, maintenance signals, licensing, and a discovery workflow.
