head to head · open source

vllm vs vearch

vllm has 92,055 GitHub stars, 22,349 forks, 7,953 open issues and last shipped today. vearch has 2,326 stars, 365 forks, 170 open issues and last shipped 2 months ago. vllm leads on adoption by 3,858% (92,055 vs 2,326 stars). vllm is written in Python under Apache-2.0; vearch is written in Python under Apache-2.0. vllm has attracted 24% as many forks as stars, vearch 16%. vllm 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 vearch ★ 2.3K category AI & Machine Learning

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Side by side

vllm vearch
GitHub stars ★ 92K ★ 2.3K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-09-18 2026-07-27
Forks ⑂ 22K ⑂ 365
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 vearch if

  • You want the vearch feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and vearch fits your workflow better

full vearch 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 vearch

简体中文 English Overview Vearch is a cloud native distributed vector database for efficient similarity search of embedding vectors in your AI applications. Key features Hybrid search : Both vector search and scalar filtering. Performance : Fast vector retrieval search from millions of objects in milliseconds. Scalability & Reliability : Replication and elastic scaling out. Document Restful APIs Tutorial 参考文档 OpenAPIs API Documentation SDK Usage Cases Use Vearch as a Memory Backend Vearch integrates with popular AI frameworks: Real world Demos VisualSearch : Vearch can be leveraged to build a complete visual search s…

read the full vearch 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 ollama vs llama-cpp ollama vs gpt4all ollama vs llama-index ollama vs localai ollama vs pageindex ollama vs langfuse openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat dify vs langchain dify vs ponytail langchain vs ponytail dify vs graphify langchain vs graphify ponytail vs graphify dify vs claude-mem dify vs ragflow

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 vearch more popular?

vllm has 92,055 GitHub stars and vearch has 2,326. vllm has the larger community by that measure.

Are vllm and vearch free?

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

What is the difference between vllm and vearch?

vllm is written in Python and vearch in Python. 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 vearch?

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