head to head · open source
vllm vs VectorDBBench
vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. VectorDBBench has 1,199 stars, 450 forks, 184 open issues and last shipped 5 days ago. vllm leads on adoption by 7,920% (96,158 vs 1,199 stars). vllm is written in Python under Apache-2.0; VectorDBBench is written in Python under MIT. vllm has attracted 25% as many forks as stars, VectorDBBench 38%. 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 | VectorDBBench | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 1.2K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-10-29 |
| Forks | ⑂ 24K | ⑂ 450 |
| 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 VectorDBBench if
- You want the VectorDBBench feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and VectorDBBench 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 VectorDBBench
VectorDBBench(VDBBench): A Benchmark Tool for VectorDB What is VDBBench VDBBench is not just an offering of benchmark results for mainstream vector databases and cloud services, it's your go to tool for the ultimate performance and cost effectiveness comparison. Designed with ease of use in mind, VDBBench is devised to help users, even non professionals, reproduce results or test new systems, making the hunt for the optimal choice amongst a plethora of cloud services and open source vector databases a breeze. Understanding the importance of user experience, we provide an intuitive visual interface. This not only…
read the full VectorDBBench overview →
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Frequently asked questions
Is vllm or VectorDBBench more popular?
vllm has 96,158 GitHub stars and VectorDBBench has 1,199. vllm has the larger community by that measure.
Are vllm and VectorDBBench free?
Both are open source. vllm is licensed under Apache-2.0 and VectorDBBench under MIT. Neither carries a licence fee.
What is the difference between vllm and VectorDBBench?
vllm is written in Python and VectorDBBench 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 VectorDBBench?
Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose VectorDBBench if its feature set, stack or MIT licence fits better. Both are self-hostable.