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TensorRT-LLM vs onyx

TensorRT-LLM and onyx share 27 technologies: FastAPI, pyzmq, OpenAI, anyio, uvicorn, starlette, Rich, matplotlib, accelerate, NVIDIA, tiktoken, torch, triton, transformers, einops, safetensors, MCP, pillow, jinja2, mako, Pydantic, jsonschema, psutil, prometheus-client, boto3, OpenTelemetry, and prometheus-fastapi-instrumentator. Both are written in Python.

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What they share and what sets them apart

NVIDIA

TensorRT-LLM

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

Python15kRead on November 8, 2026, at commit b433473What is TensorRT-LLM built with?

Only in TensorRT-LLM

In common

onyx-dot-app

onyx

Open Source AI Platform - AI Chat with advanced features that works with every LLM

Python33.3kRead on November 7, 2026, at commit a757433What is onyx built with?

Only in onyx

Side by side

SizeLines written by people and agents, without generated ones; code files, without tests.
TensorRT-LLM2,884,778 lines written3,120 code files
onyx1,626,990 lines written3,906 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.
TensorRT-LLM1.7% of its commits signed by AIWith Claude Code, CodeRabbit, GitHub Copilot, and Cursor
onyx11.7% of its commits signed by AIWith Claude Code, Devin, Cursor, CodeRabbit, GitHub Copilot, and Sweep
ActivityFrom GitHub and its history, on the day SeeRepo read it.
TensorRT-LLMLast push November 8, 202610,997 commits15,038 stars
onyxLast push November 7, 202611,391 commits33,270 stars
TestsThe files that test the code, and the share of code files a test imports.
TensorRT-LLM2,703 test files58.6% of its code files have a test that imports them
onyx3,158 test files45.7% of its code files have a test that imports them

Frequently asked questions

Which is bigger, TensorRT-LLM or onyx?
TensorRT-LLM, with 2,884,778 lines written; onyx has 1,626,990.

The proof: NVIDIA/TensorRT-LLM's code at commit b433473

Which has more GitHub stars, TensorRT-LLM or onyx?
onyx, with 33,270 stars; TensorRT-LLM has 15,038.

The proof: onyx-dot-app/onyx on GitHub

Which has more tests, TensorRT-LLM or onyx?
onyx, with 3,158 test files; TensorRT-LLM has 2,703.

The proof: onyx-dot-app/onyx's code at commit a757433

Which was updated more recently, TensorRT-LLM or onyx?
TensorRT-LLM: its last push was on November 8, 2026, and onyx's on November 7, 2026.

The proof: NVIDIA/TensorRT-LLM's commits on GitHub

Which has more commits signed by AI, TensorRT-LLM or onyx?
onyx: an AI signed 11.7% of its commits, with Claude Code, Devin, Cursor, CodeRabbit, GitHub Copilot, and Sweep; in TensorRT-LLM, 1.7%.

The proof: the commits each tool signed in onyx-dot-app/onyx

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