Source: https://seerepo.com/compare/squidfunk/mkdocs-material/vs/vllm-project/vllm
Markdown source: https://seerepo.com/compare/squidfunk/mkdocs-material/vs/vllm-project/vllm.md
Description: mkdocs-material and vllm share 4 technologies: mkdocs-material-extensions, pymdown-extensions, jinja2, and markdown. Both are written in Python.

# mkdocs-material vs vllm

mkdocs-material and vllm share 4 technologies: mkdocs-material-extensions, pymdown-extensions, jinja2, and markdown. Both are written in Python.

- [squidfunk/mkdocs-material](https://seerepo.com/r/squidfunk/mkdocs-material): Documentation that simply works
- [vllm-project/vllm](https://seerepo.com/r/vllm-project/vllm): A high-throughput and memory-efficient inference and serving engine for LLMs

## What they share and what sets them apart

- In common: mkdocs-material-extensions, pymdown-extensions, jinja2, markdown
- Only in mkdocs-material: Preact, focus-visible, escape-html
- Only in vllm: FastAPI, axum, gitdb, pyzmq, Hugging Face, Tokio, starlette, Ray, AIOHTTP, tower, mkdocs-material, indicatif, AMD, apache-tvm-ffi, auto-round-lib, conch-triton-kernels, cuda-bindings, cuda-python, cupy-cuda12x, cupy-cuda13x, flashinfer-python, humming-kernels, lm-format-enforcer, mooncake-transfer-engine, mooncake-transfer-engine-rocm, NVIDIA, nvidia-cudnn-frontend, OpenAI, openai-harmony, oss-harmony, peft, quack-kernels, sentencepiece, vllm-bench, vllm-chat, vllm-engine-core-client, vllm-llm, vllm-managed-engine, vllm-parser, vllm-proto, vllm-server, vllm-text, vllm-tokenizer, torch, transformers, xgrammar-structural-tag, einops, llm-multimodal, compressed-tensors, safetensors, triton, mistral-common, xgrammar, partial-json-parser, torchvision, datasets, lmcache, torchaudio, timm, vllm-xpu-kernels, runai-model-streamer, tokenizers, tokenspeed-mla, llguidance, MCP, outlines-core, tpu-inference, fastokens, fastsafetensors, hf-hub, instanttensor, nixl, riptoken, tekken, tensorizer, tiktoken, tiktoken-rs, markupsafe, parquet, properdocs, selectolax, xlsxwriter, pillow, image, minijinja, torchcodec, minijinja-contrib, annotated-types, Pydantic, msgspec, validator, jsonschema, pydantic-core, opentelemetry-api, opentelemetry-semantic-conventions-ai, python-json-logger, vllm-metrics, vllm-tracing, tracing, prometheus-client, psutil, tracing-futures, tracing-subscriber, model-hosting-container-standards, OpenTelemetry, opentelemetry-sdk, prometheus-fastapi-instrumentator

## Side by side

| | mkdocs-material | vllm |
|---|---|---|
| Size | 59,812 lines written, 515 code files | 2,426,215 lines written, 3,378 code files |
| Who writes it | 0% of its commits signed by AI | 13.4% of its commits signed by AI. With Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, Devin, Mistral Vibe, CodeRabbit, Factory, and Qwen Code |
| Activity | Last push November 7, 2026, 6,196 commits, 27,603 stars | Last push November 9, 2026, 24,920 commits, 96,584 stars |
| Tests | 0 test files | 2,469 test files. 60.9% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, mkdocs-material or vllm?

vllm, with 2,426,215 lines written; mkdocs-material has 59,812.

The proof: [vllm-project/vllm's code at commit 821851e](https://github.com/vllm-project/vllm/tree/821851eab038d2ec1bcdcb8c7da32a3728f71358)

### Which has more GitHub stars, mkdocs-material or vllm?

vllm, with 96,584 stars; mkdocs-material has 27,603.

The proof: [vllm-project/vllm on GitHub](https://github.com/vllm-project/vllm)

### Which has more tests, mkdocs-material or vllm?

vllm, with 2,469 test files.

The proof: [vllm-project/vllm's code at commit 821851e](https://github.com/vllm-project/vllm/tree/821851eab038d2ec1bcdcb8c7da32a3728f71358)

### Which was updated more recently, mkdocs-material or vllm?

vllm: its last push was on November 9, 2026, and mkdocs-material's on November 7, 2026.

The proof: [vllm-project/vllm's commits on GitHub](https://github.com/vllm-project/vllm/commits)

### Which has more commits signed by AI, mkdocs-material or vllm?

vllm: an AI signed 13.4% of its commits, with Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, Devin, Mistral Vibe, CodeRabbit, Factory, and Qwen Code.

The proof: [the commits each tool signed in vllm-project/vllm](https://seerepo.com/r/vllm-project/vllm/ai)

## Sources

- squidfunk/mkdocs-material: Read on November 8, 2026, at commit ec63194 (https://github.com/squidfunk/mkdocs-material/tree/ec6319412936a1aa50285192fbc8b816d396c12c)
- vllm-project/vllm: Read on November 9, 2026, at commit 821851e (https://github.com/vllm-project/vllm/tree/821851eab038d2ec1bcdcb8c7da32a3728f71358)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.