head to head · open source

llama_index vs server

llama_index has 52,237 GitHub stars, 8,178 forks, 770 open issues and last shipped yesterday. server has 8,250 stars, 2,105 forks, 495 open issues and last shipped yesterday. llama_index leads on adoption by 533% (52,237 vs 8,250 stars). llama_index is written in Python under MIT; server is written in C++ under GPL-2.0. llama_index has attracted 16% as many forks as stars, server 26%. server 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.

llama_index ★ 52K server ★ 8.3K category AI & Machine Learning

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Side by side

llama_index server
GitHub stars ★ 52K ★ 8.3K
License MIT GPL-2.0
Written in Python C++
Last push 2026-09-19 2026-09-19
Forks ⑂ 8.2K ⑂ 2.1K
Self-hosting Yes Yes
Data ownership Your server Your server

pick llama_index if

  • You weight community size — 52K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full llama_index profile →

pick server if

  • You want the server feature set and don't need the biggest community
  • You prefer the GPL-2.0 license terms
  • Your stack matches C++
  • You evaluated both and server fits your workflow better

full server profile →

About llama_index

LlamaIndex is an MIT licensed, open source Python framework for building agentic applications — retrieval augmented generation systems, agents and multi agent workflows — on top of private documents and data, and it is aimed at AI engineers and teams who need to connect large language models to their own sources of context.

read the full llama_index overview →

About server

MariaDB Server is a community developed, GPL 2.0 relational database server forked from MySQL by the original MySQL developers, aimed at teams that want MySQL compatibility with a sanely licensed, independently governed SQL server.

read the full server overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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ollama vs llama-index openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs odysseus ollama vs gpt4all ollama vs localai open-webui vs gpt4all openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs comfyui openclaw vs odysseus openclaw vs lobechat openclaw vs anythingllm openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail

More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

llama_index vs Ollama llama_index vs llama.cpp llama_index vs vllm llama_index vs GPT4All llama_index vs LocalAI llama_index vs faiss llama_index vs PageIndex llama_index vs Langfuse llama_index vs cognee llama_index vs taipy llama_index vs dagster llama_index vs zvec

Frequently asked questions

Is llama_index or server more popular?

llama_index has 52,237 GitHub stars and server has 8,250. llama_index has the larger community by that measure.

Are llama_index and server free?

Both are open source. llama_index is licensed under MIT and server under GPL-2.0. Neither carries a licence fee.

What is the difference between llama_index and server?

llama_index is written in Python and server in C++. 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 server?

Choose llama_index if you want the larger community (52,237 stars) or its MIT licence terms. Choose server if its feature set, stack or GPL-2.0 licence fits better. Both are self-hostable.