head to head · open source
llama.cpp vs infinispan
llama.cpp has 133,181 GitHub stars, 25,063 forks, 2,464 open issues and last shipped yesterday. infinispan has 1,358 stars, 657 forks, 336 open issues and last shipped yesterday. llama.cpp leads on adoption by 9,707% (133,181 vs 1,358 stars). llama.cpp is written in C++ under MIT; infinispan is written in Java under Apache-2.0. llama.cpp has attracted 19% as many forks as stars, infinispan 48%. llama.cpp 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
| llama.cpp | infinispan | |
|---|---|---|
| GitHub stars | ★ 133K | ★ 1.4K |
| License | MIT | Apache-2.0 |
| Written in | C++ | Java |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 25K | ⑂ 657 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama.cpp if
- You weight community size — 133K stars and counting
- You want the MIT license terms
- Your stack matches C++
- 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 llama.cpp
llama.cpp LLM inference in C/C++ ggml / ops / maintainer PRs%20sort%3Aupdated desc) / dev stats / lib llama API / llama server REST API Quick start A few options to get llama.cpp installed on your machine: Visit and follow the instructions Run with Docker see our Docker documentation Download pre built binaries from the releases page Build from source by cloning this repository check out our build guide Once installed: VLM session with llama cli Built in web UI against llama serve Description The main goal of llama.cpp is to enable LLM (and VLM) inference with minimal setup and state of the art performance on a…
read the full llama.cpp overview →
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 llama.cpp or infinispan more popular?
llama.cpp has 133,181 GitHub stars and infinispan has 1,358. llama.cpp has the larger community by that measure.
Are llama.cpp and infinispan free?
Both are open source. llama.cpp is licensed under MIT and infinispan under Apache-2.0. Neither carries a licence fee.
What is the difference between llama.cpp and infinispan?
llama.cpp is written in C++ 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, llama.cpp or infinispan?
Choose llama.cpp if you want the larger community (133,181 stars) or its MIT licence terms. Choose infinispan if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.