TensorRT
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Overview
HEALTH SCORE
Healthy*
Partial score (2/3 categories)
46out of 65
Solid maintainer coverage. Development cadence keeps the score from reaching Excellent. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Healthy*(46/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 14 days.
Bus factor
10 active maintainers currently have merge rights.
Organization Diversity
Contributors span 217 organizations.
Project Achievements
Leaderboards
About
TensorRT is a high-performance deep learning inference optimizer and runtime engine developed by NVIDIA. It enables developers to optimize neural network models for deployment, reducing latency and maximizing throughput on NVIDIA GPUs. The library provides tools to optimize trained models from frameworks like TensorFlow and PyTorch for efficient inference.
First commit
Software value
$127M
Tags
deep-learning
gpu-acceleration
inference
nvidia
tensorrt
License(s)
Apache-2.0
Data sources
Git
GitHub