CUDA Python: Performance meets Productivity
⚡ Executive Summary & Quick Facts
Authoritative Sourcecuda-python is cuda-python is an open-source project written in Cython: CUDA Python: Performance meets Productivity..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), NVIDIA/cuda-python has accumulated 3,412 GitHub stars and 346 forks. It is written in Cython, licensed under Apache-2.0, and ranks #3,912 globally. It is actively maintained with the latest commit recorded on Nov 3, 2026.”
| Repository | NVIDIA/cuda-python ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Cython |
| Software License | Apache-2.0 |
| Community Traction | ★ 3.4K stars · ⑂ 346 forks · #3,912 globally |
| Maintenance | ● Active (Last commit: Nov 3, 2026) · 322 open issues |
| Target Audience | Developers and engineering teams building with Cython, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 92/100 · Grade AYes, cuda-python is actively maintained. Continuous telemetry recorded the last code commit on Nov 3, 2026 (9 days ago). Supported by 3,412 stars and 346 community forks, this repository holds a calculated health index of 92/100, reflecting very active (commits within last 14 days) and active community feedback (322 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/NVIDIA/cuda-python?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/NVIDIA/cuda-python?utm_source=readme_badge) [](https://githubrepo.cloud/repo/NVIDIA/cuda-python?utm_source=readme_badge) [](https://githubrepo.cloud/repo/NVIDIA/cuda-python?utm_source=readme_badge) [](https://githubrepo.cloud/repo/NVIDIA/cuda-python?utm_source=readme_badge) [](https://githubrepo.cloud/repo/NVIDIA/cuda-python?utm_source=readme_badge)Momentum
+22
STARS · LAST 30 DAYS
1
PER DAY
#1
MOST-STARRED Cython
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +22 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +10 | +17 |
cuda-python gained 22 stars in the last 30 days, about 1 a day, and now has 3.4K. It is about 5 years old and has averaged roughly 682 stars a year. It ranks #1 among Cython repositories and #3,912 across all languages on GitHubRepo.
Trending Record
41
DAYS ON TRENDING
#2015
BEST RANK
Sep 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
cuda-python has maintained a continuous presence across global trending indexes, peaking at #2015. Below is the 30-day activity profile:
💡 Overview
cuda-python is an open-source project written in Cython: CUDA Python: Performance meets Productivity.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Cython. 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 Cython 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
$ git clone https://github.com/NVIDIA/cuda-python.git
cd cuda-python⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Cython environment and standard tooling
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
cuda-python coordinates its core functionality through a modular Cython 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 cuda-python into Cython 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 Apache-2.0 license.
🚀 Getting Started
Install cuda-python using your package manager: `git clone https://github.com/NVIDIA/cuda-python.git`
Initialize your project workspace or configuration file for cuda-python.
Import cuda-python into your codebase or invoke it directly from your terminal.
Execute your test suite or run `cuda-python --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Cython, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
NVIDIA/cuda-python is currently ranked #3,912 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,906 | NextAlone/Nagram | Java | ★ 3.4K | Compare ↗ |
| #3,908 | ThirteenAG/GTAIV.EFLC.FusionFix | C++ | ★ 3.4K | Compare ↗ |
| #3,908 | duongductrong/Snapzy | Swift | ★ 3.4K | Compare ↗ |
| #3,910 | cairoshell/cairoshell | C# | ★ 3.4K | Compare ↗ |
| #3,910 | web-infra-dev/rsbuild | TypeScript | ★ 3.4K | Compare ↗ |
| #3,912 | NVIDIA/cuda-python This Project | Cython | ★ 3.4K | |
| #3,912 | brefphp/bref | PHP | ★ 3.4K | Compare ↗ |
| #3,912 | automazeio/vibeproxy | Swift | ★ 3.4K | Compare ↗ |
| #3,915 | langchain-ai/langgraphjs | TypeScript | ★ 3.4K | Compare ↗ |
| #3,916 | chrisboulton/php-resque | PHP | ★ 3.4K | Compare ↗ |
| #3,917 | openclaw/acpx | TypeScript | ★ 3.4K | Compare ↗ |
Frequently Asked Questions
What does cuda-python do? +
CUDA Python: Performance meets Productivity
Is cuda-python actively maintained in 2026? +
Yes, cuda-python is actively maintained. The latest code push was recorded on Nov 3, 2026 (9 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 3,412 stars and 322 open issues.
What language is cuda-python written in? +
The primary language is Cython. Topics include: software.
How many stars does cuda-python have? +
cuda-python has 3,412 stars and 346 forks on GitHub.
How does cuda-python rank among GitHub repositories? +
With 3,412 stars, NVIDIA/cuda-python is ranked #3,912 globally across all repositories tracked on GitHubRepo and #1 among Cython projects.
What license is cuda-python distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
