PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
⚡ Executive Summary & Quick Facts
Authoritative SourceTensorRT is TensorRT is an open-source project written in Python: PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), pytorch/TensorRT has accumulated 3,010 GitHub stars and 414 forks. It is written in Python, licensed under BSD-3-Clause, and ranks #4,322 globally. It is actively maintained with the latest commit recorded on Oct 9, 2026.”
| Repository | pytorch/TensorRT ↗ |
|---|---|
| Primary Category | cuda |
| Language & Stack | Python |
| Software License | BSD-3-Clause |
| Community Traction | ★ 3K stars · ⑂ 414 forks · #4,322 globally |
| Maintenance | ● Active (Last commit: Oct 9, 2026) · 303 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 87/100 · Grade AYes, TensorRT is actively maintained. Continuous telemetry recorded the last code commit on Oct 9, 2026 (35 days ago). Supported by 3,010 stars and 414 community forks, this repository holds a calculated health index of 87/100, reflecting regular maintenance (35 days ago) and active community feedback (303 open).
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/pytorch/TensorRT?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/pytorch/TensorRT?utm_source=readme_badge) [](https://githubrepo.cloud/repo/pytorch/TensorRT?utm_source=readme_badge) [](https://githubrepo.cloud/repo/pytorch/TensorRT?utm_source=readme_badge) [](https://githubrepo.cloud/repo/pytorch/TensorRT?utm_source=readme_badge) [](https://githubrepo.cloud/repo/pytorch/TensorRT?utm_source=readme_badge)Momentum
+0
STARS · LAST 30 DAYS
1
PER DAY
#651
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +0 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +0 | +21 |
TensorRT gained 0 stars in the last 30 days, about 1 a day, and now has 3K. It is about 7 years old and has averaged roughly 430 stars a year. It ranks #651 among Python repositories and #4,322 across all languages on GitHubRepo.
Trending Record
41
DAYS ON TRENDING
#1815
BEST RANK
Sep 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
TensorRT has maintained a continuous presence across global trending indexes, peaking at #1815. Below is the 30-day activity profile:
💡 Overview
TensorRT is an open-source project written in Python: PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT.
Engineered for speed, consistency, and developer ease, it solves common hurdles in cuda, deep-learning, jetson. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install TensorRT⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
TensorRT coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Production System Integration
Embed TensorRT into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open BSD-3-Clause license.
🚀 Getting Started
Install TensorRT using your package manager: `pip install TensorRT`
Initialize your project workspace or configuration file for TensorRT.
Import TensorRT into your codebase or invoke it directly from your terminal.
Execute your test suite or run `TensorRT --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
pytorch/TensorRT is currently ranked #4,322 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #4,317 | bitfireAT/davx5-ose | Kotlin | ★ 3K | Compare ↗ |
| #4,317 | SubmitGame/awesome-decomp-games | Python | ★ 3K | Compare ↗ |
| #4,319 | rentzsch/mogenerator | Objective-C | ★ 3K | Compare ↗ |
| #4,319 | headwaymaps/headway | Rust | ★ 3K | Compare ↗ |
| #4,321 | mickasmt/next-saas-stripe-starter | TypeScript | ★ 3K | Compare ↗ |
| #4,322 | pytorch/TensorRT This Project | Python | ★ 3K | |
| #4,322 | rust-lang/hashbrown | Rust | ★ 3K | Compare ↗ |
| #4,324 | IacobIonut01/ReFra | Kotlin | ★ 3K | Compare ↗ |
| #4,325 | jbevain/cecil | C# | ★ 3K | Compare ↗ |
| #4,325 | CMB2/CMB2 | PHP | ★ 3K | Compare ↗ |
| #4,325 | phcode-dev/phoenix | JavaScript | ★ 3K | Compare ↗ |
Frequently Asked Questions
What does TensorRT do? +
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
Is TensorRT actively maintained in 2026? +
Yes, TensorRT is actively maintained. The latest code push was recorded on Oct 9, 2026 (35 days ago). It holds a calculated Maintenance Health Score of 87/100 (A rating) with 3,010 stars and 303 open issues.
What language is TensorRT written in? +
The primary language is Python. Topics include: cuda, deep-learning, jetson, libtorch, machine-learning.
How many stars does TensorRT have? +
TensorRT has 3,010 stars and 414 forks on GitHub.
How does TensorRT rank among GitHub repositories? +
With 3,010 stars, pytorch/TensorRT is ranked #4,322 globally across all repositories tracked on GitHubRepo and #651 among Python projects.
What license is TensorRT distributed under? +
The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.
