head to head · open source

vllm vs faiss

vllm has 92,055 GitHub stars, 22,349 forks, 7,953 open issues and last shipped yesterday. faiss has 40,929 stars, 4,526 forks, 327 open issues and last shipped yesterday. vllm leads on adoption by 125% (92,055 vs 40,929 stars). vllm is written in Python under Apache-2.0; faiss is written in C++ under MIT. vllm has attracted 24% as many forks as stars, faiss 11%. faiss was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

vllm ★ 92K faiss ★ 41K category AI & Machine Learning

← all 13541 open source comparisons

Side by side

vllm faiss
GitHub stars ★ 92K ★ 41K
License Apache-2.0 MIT
Written in Python C++
Last push 2026-09-18 2026-09-18
Forks ⑂ 22K ⑂ 4.5K
Self-hosting Yes Yes
Data ownership Your server Your server

pick vllm if

  • You weight community size — 92K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full vllm profile →

pick faiss if

  • You want the faiss feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches C++
  • You evaluated both and faiss fits your workflow better

full faiss profile →

About vllm

vLLM is a high throughput, memory efficient Python library for LLM inference and serving, built for ML engineers and platform teams who need to run open weight models on their own hardware at production scale.

read the full vllm overview →

About faiss

Faiss is an MIT licensed C++ library for efficient similarity search and clustering of dense vectors, with complete Python and NumPy wrappers, developed primarily at Meta's Fundamental AI Research group, and it is intended for engineers and researchers who need nearest neighbour search over vector sets that range from small collections to sets that possibly do not fit in RAM.

read the full faiss overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

Related comparisons

ollama vs vllm llama-cpp vs vllm openclaw vs ollama ollama vs llama-cpp ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm hermes-agent vs opencode hermes-agent vs n8n openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail

More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

vllm vs Ollama vllm vs llama.cpp vllm vs GPT4All vllm vs llama_index vllm vs LocalAI vllm vs PageIndex vllm vs Langfuse vllm vs cognee vllm vs taipy vllm vs dagster vllm vs zvec vllm vs langchain4j

Frequently asked questions

Is vllm or faiss more popular?

vllm has 92,055 GitHub stars and faiss has 40,929. vllm has the larger community by that measure.

Are vllm and faiss free?

Both are open source. vllm is licensed under Apache-2.0 and faiss under MIT. Neither carries a licence fee.

What is the difference between vllm and faiss?

vllm is written in Python and faiss in C++. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, vllm or faiss?

Choose vllm if you want the larger community (92,055 stars) or its Apache-2.0 licence terms. Choose faiss if its feature set, stack or MIT licence fits better. Both are self-hostable.