head to head · open source
vllm vs kitops
vllm has 96,095 GitHub stars, 24,279 forks, 7,953 open issues and last shipped yesterday. kitops has 1,438 stars, 188 forks, 50 open issues and last shipped 8 days ago. vllm leads on adoption by 6,583% (96,095 vs 1,438 stars). vllm is written in Python under Apache-2.0; kitops is written in Go under Apache-2.0. vllm has attracted 25% as many forks as stars, kitops 13%. 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.
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Side by side
| vllm | kitops | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 1.4K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Go |
| Last push | 2026-11-02 | 2026-10-26 |
| Forks | ⑂ 24K | ⑂ 188 |
| 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
pick kitops if
- You want the kitops feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Go
- You evaluated both and kitops fits your workflow better
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…
About kitops
KitOps: Standards based packaging & versioning for AI/ML projects Table of Contents What is KitOps? Try KitOps How Teams Use KitOps KitOps Architecture Security and Compliance KitOps by Role Integrations Community and Support What is KitOps? KitOps is a CNCF open source tool for packaging, versioning, and securely sharing AI/ML projects. Built on the same OCI (Open Container Initiative) technology that underlies containers, KitOps packages everything your model needs for development or production into a versioned and layered artifact stored in your existing container registry. It integrates with all your AI/ML…
read the full kitops overview →
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Frequently asked questions
Is vllm or kitops more popular?
vllm has 96,095 GitHub stars and kitops has 1,438. vllm has the larger community by that measure.
Are vllm and kitops free?
Both are open source. vllm is licensed under Apache-2.0 and kitops under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and kitops?
vllm is written in Python and kitops 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 kitops?
Choose vllm if you want the larger community (96,095 stars) or its Apache-2.0 licence terms. Choose kitops if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.