LTX-2 vs vllm
LTX-2 and vllm share 11 technologies: OpenAI, NVIDIA, sentencepiece, torch, triton, safetensors, torchaudio, torchvision, torchcodec, pillow, and Pydantic. Both are written in Python.
What they share and what sets them apart
Lightricks
LTX-2
Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.
Python10.2kRead on November 13, 2026, at commit f0f2f86What is LTX-2 built with?Only in LTX-2
- Rich
accelerate
- bitsandbytes
- optimum-quanto
peft
imageio
av
imageio-ffmpeg
- pillow-heif
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
- 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-cudnn-frontend
- 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
- transformers
- xgrammar-structural-tag
- einops
llm-multimodal
- compressed-tensors
- mistral-common
xgrammar
partial-json-parser
lmcache
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
- image
- jinja2
minijinja
minijinja-contrib
- annotated-types
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
LTX-2vllm
SizeLines written by people and agents, without generated ones; code files, without tests.
LTX-281,590 lines written364 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.
LTX-20% of its commits signed by AI
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.
LTX-2Last push November 12, 202636 commits10,227 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.
LTX-20 test files
vllm2,521 test files61.1% of its code files have a test that imports them
Frequently asked questions
Which is bigger, LTX-2 or vllm?
vllm, with 2,489,750 lines written; LTX-2 has 81,590.
The proof: vllm-project/vllm's code at commit c6573ee
Which has more GitHub stars, LTX-2 or vllm?
vllm, with 96,790 stars; LTX-2 has 10,227.
The proof: vllm-project/vllm on GitHub
Which has more tests, LTX-2 or vllm?
vllm, with 2,521 test files.
The proof: vllm-project/vllm's code at commit c6573ee
Which was updated more recently, LTX-2 or vllm?
Both got their last push on November 12, 2026.
The proof: Lightricks/LTX-2's commits on GitHub
Which has more commits signed by AI, LTX-2 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.
The proof: the commits each tool signed in vllm-project/vllm
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