head to head · open source

vllm vs genkit

vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. genkit has 6,563 stars, 875 forks, 741 open issues and last shipped yesterday. vllm leads on adoption by 1,365% (96,158 vs 6,563 stars). vllm is written in Python under Apache-2.0; genkit is written in TypeScript under Apache-2.0. vllm has attracted 25% as many forks as stars, genkit 13%. vllm was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.

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 genkit ★ 6.6K category AI & Machine Learning

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Side by side

vllm genkit
GitHub stars ★ 96K ★ 6.6K
License Apache-2.0 Apache-2.0
Written in Python TypeScript
Last push 2026-11-02 2026-11-02
Forks ⑂ 24K ⑂ 875
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 genkit if

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

full genkit 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 genkit

Genkit is an open source framework for building full stack AI powered applications, built and used in production by Google's Firebase. It provides SDKs for multiple programming languages with varying levels of stability: JavaScript/TypeScript : Production ready with full feature support Go : Production ready with full feature support Python (Beta) : Wide feature support approaching production readiness Dart (Preview) : Early development with core functionality It offers a unified interface for integrating AI models from providers like Google, OpenAI, Anthropic, Ollama, and more. Rapidly build and deploy…

read the full genkit overview →

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Frequently asked questions

Is vllm or genkit more popular?

vllm has 96,158 GitHub stars and genkit has 6,563. vllm has the larger community by that measure.

Are vllm and genkit free?

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

What is the difference between vllm and genkit?

vllm is written in Python and genkit in TypeScript. 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 genkit?

Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose genkit if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.