hydra vs vllm
hydra and vllm share 3 technologies: AIOHTTP, Ray, and torch. Both are written in Python.
What they share and what sets them apart
hydra-ecosystem
hydra
Hydra is a framework for elegantly configuring complex applications
Python10.7kRead on November 13, 2026, at commit fdd1cbbWhat is hydra built with?Only in hydra
In common
vllm-project
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Python96.8kRead on November 12, 2026, at commit c6573eeWhat is vllm built with?Only in vllm
- FastAPI
- axum
- gitdb
- pyzmq
- Hugging Face
- Tokio
starlette
- 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
- sentencepiece
- vllm-bench
- vllm-chat
- vllm-engine-core-client
- vllm-llm
- vllm-managed-engine
- vllm-parser
- vllm-proto
- vllm-server
- vllm-text
- vllm-tokenizer
- transformers
- 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
- MCP
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
- Pydantic
msgspec
- validator
- opentelemetry-semantic-conventions-ai
- python-json-logger
- vllm-metrics
- vllm-tracing
tracing
prometheus-client
psutil
tracing-subscriber
tracing-futures
- model-hosting-container-standards
- OpenTelemetry
- prometheus-fastapi-instrumentator
tracing-log
Side by side
hydravllm
SizeLines written by people and agents, without generated ones; code files, without tests.
hydra71,178 lines written121 code files
vllm2,489,750 lines written3,450 code files
Who writes itA commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
hydra0.4% of its commits signed by AIWith GitHub Copilot, Claude Code, and Cursor
vllm14% of its commits signed by AIWith Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, Devin, Mistral Vibe, CodeRabbit, Factory, and Qwen Code
ActivityFrom GitHub and its history, on the day SeeRepo read it.
hydraLast push November 12, 20262,248 commits10,744 stars
vllmLast push November 12, 202625,200 commits96,790 stars
TestsThe files that test the code, and the share of code files a test imports.
hydra250 test files60.3% of its code files have a test that imports them
vllm2,521 test files61.1% of its code files have a test that imports them
Frequently asked questions
Which is bigger, hydra or vllm?
vllm, with 2,489,750 lines written; hydra has 71,178.
The proof: vllm-project/vllm's code at commit c6573ee
Which has more GitHub stars, hydra or vllm?
vllm, with 96,790 stars; hydra has 10,744.
The proof: vllm-project/vllm on GitHub
Which has more tests, hydra or vllm?
vllm, with 2,521 test files; hydra has 250.
The proof: vllm-project/vllm's code at commit c6573ee
Which was updated more recently, hydra or vllm?
Both got their last push on November 12, 2026.
The proof: vllm-project/vllm's commits on GitHub
Which has more commits signed by AI, hydra or vllm?
vllm: an AI signed 14% of its commits, with Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, Devin, Mistral Vibe, CodeRabbit, Factory, and Qwen Code; in hydra, 0.4%.
The proof: the commits each tool signed in vllm-project/vllm
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