Source: https://seerepo.com/compare/tobi/qmd/vs/vllm-project/vllm
Markdown source: https://seerepo.com/compare/tobi/qmd/vs/vllm-project/vllm.md
Description: qmd and vllm share 8 technologies: Hugging Face, MCP, sentencepiece, transformers, peft, torch, datasets, and Pydantic. qmd is written in TypeScript and vllm in Python.

# qmd vs vllm

qmd and vllm share 8 technologies: Hugging Face, MCP, sentencepiece, transformers, peft, torch, datasets, and Pydantic. qmd is written in TypeScript and vllm in Python.

- [tobi/qmd](https://seerepo.com/r/tobi/qmd): mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
- [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: Hugging Face, MCP, sentencepiece, transformers, peft, torch, datasets, Pydantic
- Only in qmd: SQLite, sqlite-vec, accelerate, gguf, trl, node-llama-cpp, trackio, yaml, Zod
- Only in vllm: FastAPI, axum, gitdb, pyzmq, 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, quack-kernels, vllm-bench, vllm-chat, vllm-engine-core-client, vllm-llm, vllm-managed-engine, vllm-parser, vllm-proto, vllm-server, vllm-text, vllm-tokenizer, xgrammar-structural-tag, einops, llm-multimodal, compressed-tensors, safetensors, triton, mistral-common, xgrammar, partial-json-parser, torchvision, lmcache, torchaudio, timm, vllm-xpu-kernels, runai-model-streamer, tokenizers, tokenspeed-mla, llguidance, outlines-core, tpu-inference, fastokens, fastsafetensors, hf-hub, instanttensor, nixl, riptoken, tekken, tensorizer, tiktoken, tiktoken-rs, markdown, markupsafe, mkdocs-material-extensions, parquet, properdocs, pymdown-extensions, selectolax, xlsxwriter, pillow, image, jinja2, minijinja, torchcodec, minijinja-contrib, annotated-types, 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

| | qmd | vllm |
|---|---|---|
| Size | 62,234 lines written, 49 code files | 2,426,215 lines written, 3,378 code files |
| Who writes it | 27.2% of its commits signed by AI. With Claude Code, Codex, Cursor, Warp, and GitHub Copilot | 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 October 15, 2026, 639 commits, 30,946 stars | Last push November 9, 2026, 24,920 commits, 96,584 stars |
| Tests | 69 test files. 42.9% of its code files have a test that imports them | 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, qmd or vllm?

vllm, with 2,426,215 lines written; qmd has 62,234.

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

### Which has more GitHub stars, qmd or vllm?

vllm, with 96,584 stars; qmd has 30,946.

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

### Which has more tests, qmd or vllm?

vllm, with 2,469 test files; qmd has 69.

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

### Which was updated more recently, qmd or vllm?

vllm: its last push was on November 9, 2026, and qmd's on October 15, 2026.

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

### Which has more commits signed by AI, qmd or vllm?

qmd: an AI signed 27.2% of its commits, with Claude Code, Codex, Cursor, Warp, and GitHub Copilot; in vllm, 13.4%.

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

## Sources

- tobi/qmd: Read on November 7, 2026, at commit 86d2365 (https://github.com/tobi/qmd/tree/86d2365d17fc682e491c2c53d1e4a884aee8682a)
- 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.