head to head · open source

vllm vs Olares

vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. Olares has 5,335 stars, 332 forks, 155 open issues and last shipped yesterday. vllm leads on adoption by 1,702% (96,158 vs 5,335 stars). vllm is written in Python under Apache-2.0; Olares is written in Go under AGPL-3.0. vllm has attracted 25% 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 ★ 96K Olares ★ 5.3K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

vllm Olares
GitHub stars ★ 96K ★ 5.3K
License Apache-2.0 AGPL-3.0
Written in Python Go
Last push 2026-11-02 2026-11-02
Forks ⑂ 24K ⑂ 332
Self-hosting Yes Yes
Data ownership Your server Your server

pick vllm if

  • You weight community size — 96K 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

Easy, fast, and cheap LLM serving for everyone 🔥 We have built a vLLM website to help you get started with vLLM. Please visit vllm.ai to learn more. For events, please visit vllm.ai/events to join us. About vLLM is a fast and easy to use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has grown into one of the most active open source AI projects built and maintained by a diverse community of many dozens of academic institutions and companies from over 2000 contributors. vLLM is fast with: State of the art serving throughput Efficient management of…

read the full vllm overview →

About Olares

Olares Your AI Agent. Your Data. Your Hardware. Install Olares · Manage Olares with AI · Contribute Olares is an open source personal cloud OS you operate in plain language, built to run AI agents and LLMs on hardware you own. Powered by Kubernetes, it turns your machines into a self hosted AI platform accessible from any browser, giving everyone from individual users to small teams a unified place for compute, storage, networking, and apps. 🌟 If Olares is useful to you, consider giving the project a star. Your support encourages us to keep improving it. Why Olares Great AI needs to know you. That requires…

read the full Olares overview →

More in AI & Machine Learning

Related comparisons

More Machine Learning Infrastructure projects

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

Frequently asked questions

Is vllm or Olares more popular?

vllm has 96,158 GitHub stars and Olares has 5,335. 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 (96,158 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.