⚡ Executive Summary & Quick Facts
Authoritative Sourcecudf is cudf is an open-source project written in C++: cuDF - GPU DataFrame Library ..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), NVIDIA/cudf has accumulated 9,799 GitHub stars and 1,162 forks. It is written in C++, licensed under Apache-2.0, and ranks #1,685 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
| Repository | NVIDIA/cudf ↗ |
|---|---|
| Primary Category | arrow |
| Language & Stack | C++ |
| Software License | Apache-2.0 |
| Community Traction | ★ 9.8K stars · ⑂ 1.2K forks · #1,685 globally |
| Maintenance | ● Active (Last commit: Nov 11, 2026) · 1,510 open issues |
| Target Audience | Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 90/100 · Grade AYes, cudf is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (2 days ago). Supported by 9,799 stars and 1,162 community forks, this repository holds a calculated health index of 90/100, reflecting very active (commits within last 14 days) and high open issue volume (1,510 open).
Star History
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+24
STARS · LAST 30 DAYS
1
PER DAY
#123
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +24 | +24 | +90 |
| Per day | 3 | 1 | 1 |
| Forks gained | +34 | +34 | +58 |
cudf gained 24 stars in the last 30 days, about 1 a day, and now has 9.8K. It is about 10 years old and has averaged roughly 980 stars a year. It ranks #123 among C++ repositories and #1,685 across all languages on GitHubRepo.
Trending Record
40
DAYS ON TRENDING
#1450
BEST RANK
Sep 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
cudf has maintained a continuous presence across global trending indexes, peaking at #1450. Below is the 30-day activity profile:
💡 Overview
cudf is an open-source project written in C++: cuDF - GPU DataFrame Library .
Engineered for speed, consistency, and developer ease, it solves common hurdles in arrow, cpp, cuda. 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 C++ 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/cudf.git
cd cudf⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
cudf coordinates its core functionality through a modular C++ 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 cudf into C++ 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 cudf using your package manager: `git clone https://github.com/NVIDIA/cudf.git`
Initialize your project workspace or configuration file for cudf.
Import cudf into your codebase or invoke it directly from your terminal.
Execute your test suite or run `cudf --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
NVIDIA/cudf is currently ranked #1,685 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,680 | backnotprop/plannotator | TypeScript | ★ 9.8K | Compare ↗ |
| #1,681 | restsharp/RestSharp | C# | ★ 9.8K | Compare ↗ |
| #1,681 | symfony/console | PHP | ★ 9.8K | Compare ↗ |
| #1,683 | miniflux/v2 | Go | ★ 9.8K | Compare ↗ |
| #1,684 | cordiverse/cordis | TypeScript | ★ 9.8K | Compare ↗ |
| #1,685 | NVIDIA/cudf This Project | C++ | ★ 9.8K | |
| #1,686 | OpenFeign/feign | Java | ★ 9.8K | Compare ↗ |
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Frequently Asked Questions
What does cudf do? +
cuDF - GPU DataFrame Library
Is cudf actively maintained in 2026? +
Yes, cudf is actively maintained. The latest code push was recorded on Nov 11, 2026 (2 days ago). It holds a calculated Maintenance Health Score of 90/100 (A rating) with 9,799 stars and 1,510 open issues.
What language is cudf written in? +
The primary language is C++. Topics include: arrow, cpp, cuda, cudf, dask.
How many stars does cudf have? +
cudf has 9,799 stars and 1,162 forks on GitHub.
How does cudf rank among GitHub repositories? +
With 9,799 stars, NVIDIA/cudf is ranked #1,685 globally across all repositories tracked on GitHubRepo and #123 among C++ projects.
What license is cudf distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
