Star History
Momentum
+75
STARS · LAST 30 DAYS
3
PER DAY
#237
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +21 | +75 | +270 |
| Per day | 3 | 3 | 3 |
| Forks gained | +2 | +8 | +21 |
TensorRT gained 75 stars in the last 30 days, about 3 a day, and now has 3K. It is about 7 years old and has averaged roughly 429 stars a year. It ranks #237 among Python repositories and #1,639 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#2089
BEST RANK
Sep 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
TensorRT has maintained a continuous presence across global trending indexes, peaking at #2089. 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 #1,639 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,634 | androidx/media | Java | ★ 3K | Compare ↗ |
| #1,634 | duckdb/ducklake | C++ | ★ 3K | Compare ↗ |
| #1,636 | radixark/miles | Python | ★ 3K | Compare ↗ |
| #1,637 | headwaymaps/headway | Rust | ★ 3K | Compare ↗ |
| #1,638 | nodatime/nodatime | C# | ★ 3K | Compare ↗ |
| #1,639 | pytorch/TensorRT This Project | Python | ★ 3K | |
| #1,640 | mickasmt/next-saas-stripe-starter | TypeScript | ★ 3K | Compare ↗ |
| #1,641 | rust-lang/hashbrown | Rust | ★ 3K | Compare ↗ |
| #1,642 | GoogleCloudPlatform/nodejs-docs-samples | JavaScript | ★ 3K | Compare ↗ |
| #1,643 | phcode-dev/phoenix | JavaScript | ★ 3K | Compare ↗ |
| #1,644 | elie222/rakazo | TypeScript | ★ 3K | Compare ↗ |
Frequently Asked Questions
What does TensorRT do? +
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
What language is TensorRT written in? +
The primary language is Python. Topics include: cuda, deep-learning, jetson, libtorch, machine-learning.
Is TensorRT actively maintained? +
Yes, the last recorded push was on Sep 28, 2026 with 342 open issues being tracked.
How many stars does TensorRT have? +
TensorRT has 3,001 stars and 411 forks on GitHub.
How does TensorRT rank among GitHub repositories? +
With 3,001 stars, pytorch/TensorRT is ranked #1,639 globally across all repositories tracked on GitHubRepo and #237 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.
