head to head · open source
vllm vs infinispan
vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. infinispan has 1,358 stars, 657 forks, 336 open issues and last shipped yesterday. vllm leads on adoption by 6,981% (96,158 vs 1,358 stars). vllm is written in Python under Apache-2.0; infinispan is written in Java under Apache-2.0. vllm has attracted 25% as many forks as stars, infinispan 48%. 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 | infinispan | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 1.4K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Java |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 24K | ⑂ 657 |
| 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 infinispan if
- You want the infinispan feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Java
- You evaluated both and infinispan 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 infinispan
⭐ If you use Infinispan, consider starring this repo, it helps the project grow and reach more developers! ⭐ Infinispan, In Memory Distributed Database Infinispan is an open source in memory database that offers flexible deployment options and robust capabilities for storing, managing, and processing data. Infinispan provides a key/value data store that can hold all types of data, from Java objects to plain text. Infinispan distributes your data across elastically scalable clusters to guarantee high availability and fault tolerance, whether you use Infinispan as a volatile cache or a persistent data store…
read the full infinispan overview →
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Frequently asked questions
Is vllm or infinispan more popular?
vllm has 96,158 GitHub stars and infinispan has 1,358. vllm has the larger community by that measure.
Are vllm and infinispan free?
Both are open source. vllm is licensed under Apache-2.0 and infinispan under Apache-2.0. Neither carries a licence fee.
What is the difference between vllm and infinispan?
vllm is written in Python and infinispan in Java. 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 infinispan?
Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose infinispan if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.