head to head · open source

vllm vs endee

vllm has 92,055 GitHub stars, 22,349 forks, 7,953 open issues and last shipped today. endee has 1,297 stars, 1,650 forks, 31 open issues and last shipped 2 months ago. vllm leads on adoption by 6,998% (92,055 vs 1,297 stars). vllm is written in Python under Apache-2.0; endee is written in C++ under AGPL-3.0. vllm has attracted 24% as many forks as stars, endee 127%. 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.

vllm ★ 92K endee ★ 1.3K category AI & Machine Learning

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Side by side

vllm endee
GitHub stars ★ 92K ★ 1.3K
License Apache-2.0 AGPL-3.0
Written in Python C++
Last push 2026-09-18 2026-07-29
Forks ⑂ 22K ⑂ 1.6K
Self-hosting Yes Yes
Data ownership Your server Your server

pick vllm if

  • You weight community size — 92K 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

full vllm profile →

pick endee if

  • You want the endee feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches C++
  • You evaluated both and endee fits your workflow better

full endee profile →

About vllm

vLLM is a high throughput, memory efficient Python library for LLM inference and serving, built for ML engineers and platform teams who need to run open weight models on their own hardware at production scale.

read the full vllm overview →

About endee

High performance AI Search & Intelligence platform for AI search, RAG, semantic search, and hybrid retrieval. Quick Start • Why Endee • Use Cases • Features • API and Clients • Docs • Contact Endee: AI Search & Intelligence Platform Endee is a high performance AI Search & Intelligence platform built for AI search and retrieval workloads. It is designed for teams building RAG pipelines , semantic search , hybrid search , recommendation systems, and filtered vector retrieval APIs that need production oriented performance and control. Endee combines vector search with filtering, sparse retrieval support, backup work…

read the full endee overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

Related comparisons

ollama vs vllm llama-cpp vs vllm ollama vs llama-cpp ollama vs gpt4all ollama vs llama-index ollama vs localai ollama vs pageindex ollama vs langfuse openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat dify vs langchain dify vs ponytail langchain vs ponytail dify vs graphify langchain vs graphify ponytail vs graphify dify vs claude-mem dify vs ragflow

More Machine Learning Infrastructure projects

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

vllm vs Ollama vllm vs llama.cpp vllm vs GPT4All vllm vs llama_index vllm vs LocalAI vllm vs PageIndex vllm vs Langfuse vllm vs cognee vllm vs taipy vllm vs dagster vllm vs zvec vllm vs langchain4j

Frequently asked questions

Is vllm or endee more popular?

vllm has 92,055 GitHub stars and endee has 1,297. vllm has the larger community by that measure.

Are vllm and endee free?

Both are open source. vllm is licensed under Apache-2.0 and endee under AGPL-3.0. Neither carries a licence fee.

What is the difference between vllm and endee?

vllm is written in Python and endee 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, vllm or endee?

Choose vllm if you want the larger community (92,055 stars) or its Apache-2.0 licence terms. Choose endee if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.