head to head · open source

vllm vs Olares

vllm has 92,028 GitHub stars, 22,335 forks, 7,953 open issues and last shipped yesterday. Olares has 5,276 stars, 327 forks, 155 open issues and last shipped yesterday. vllm leads on adoption by 1,644% (92,028 vs 5,276 stars). vllm is written in Python under Apache-2.0; Olares is written in Go under AGPL-3.0. vllm has attracted 24% as many forks as stars, Olares 6%. 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 Olares ★ 5.3K category AI & Machine Learning

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Side by side

vllm Olares
GitHub stars ★ 92K ★ 5.3K
License Apache-2.0 AGPL-3.0
Written in Python Go
Last push 2026-09-17 2026-09-17
Forks ⑂ 22K ⑂ 327
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 Olares if

  • You want the Olares feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches Go
  • You evaluated both and Olares fits your workflow better

full Olares 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 Olares

Olares is an open source personal cloud operating system built to run AI agents and large language models on hardware you own. It is written in Go and released under the AGPL 3.0 license, and it sits in the cloud native and self hosted corner of the machine learning infrastructure ecosystem. The project describes itself as an operating system you operate in plain language, powered by Kubernetes, turning a machine or a set of machines into a self hosted AI platform reachable from any browser.

read the full Olares overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K 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 Olares more popular?

vllm has 92,028 GitHub stars and Olares has 5,276. vllm has the larger community by that measure.

Are vllm and Olares free?

Both are open source. vllm is licensed under Apache-2.0 and Olares under AGPL-3.0. Neither carries a licence fee.

What is the difference between vllm and Olares?

vllm is written in Python and Olares in Go. 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 Olares?

Choose vllm if you want the larger community (92,028 stars) or its Apache-2.0 licence terms. Choose Olares if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.