head to head · open source
llama_index vs infinispan
llama_index has 52,779 GitHub stars, 8,500 forks, 770 open issues and last shipped 8 days ago. infinispan has 1,358 stars, 657 forks, 336 open issues and last shipped yesterday. llama_index leads on adoption by 3,787% (52,779 vs 1,358 stars). llama_index is written in Python under MIT; infinispan is written in Java under Apache-2.0. llama_index has attracted 16% as many forks as stars, infinispan 48%. infinispan was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (vector-database), 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.
← all 20902 open source comparisons
Side by side
| llama_index | infinispan | |
|---|---|---|
| GitHub stars | ★ 53K | ★ 1.4K |
| License | MIT | Apache-2.0 |
| Written in | Python | Java |
| Last push | 2026-10-26 | 2026-11-02 |
| Forks | ⑂ 8.5K | ⑂ 657 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 53K stars and counting
- You want the MIT 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 llama_index
🗂️ LlamaIndex (OSS Framework) 🦙 [!NOTE] The current focus of LlamaIndex is to build the best AI powered engine for document parsing and extraction. LlamaParse is our enterprise platform for agentic OCR, parsing, extraction, indexing and more. LiteParse represents our efforts to build the best free, fast, cheap text parser in the market. ParseBench and ExtractBench represent our commitment towards open benchmarking for parsing and extraction. The company itself has undergone an evolution since when this OSS framework first launched 3 years ago in 2023. Since the early days, the framework has consisted of a…
read the full llama_index 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 →
More in AI & Machine Learning
Related comparisons
More Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is llama_index or infinispan more popular?
llama_index has 52,779 GitHub stars and infinispan has 1,358. llama_index has the larger community by that measure.
Are llama_index and infinispan free?
Both are open source. llama_index is licensed under MIT and infinispan under Apache-2.0. Neither carries a licence fee.
What is the difference between llama_index and infinispan?
llama_index 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, llama_index or infinispan?
Choose llama_index if you want the larger community (52,779 stars) or its MIT licence terms. Choose infinispan if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.