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NVIDIA/cudf

cuDF - GPU DataFrame Library

C++ ◇ arrow Apache-2.0
★9.8KSTARS
⑂1.1KFORKS
!1,369ISSUES
🏆#693GLOBAL RANK
🔥1DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for NVIDIA/cudf
CSV

Momentum

+244

STARS · LAST 30 DAYS

8

PER DAY

#42

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+56+244+720
Per day888
Forks gained+6+22+56

cudf gained 244 stars in the last 30 days, about 8 a day, and now has 9.8K. It is about 9 years old and has averaged roughly 1.1K stars a year. It ranks #42 among C++ repositories and #693 across all languages on GitHubRepo.

Trending Record

cudf has maintained a continuous presence across global trending indexes, peaking at #1518. 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

1

Optimized execution pipeline written in C++ for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ 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

1

Install cudf using your package manager: `git clone https://github.com/NVIDIA/cudf.git`

2

Initialize your project workspace or configuration file for cudf.

3

Import cudf into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `cudf --help` to verify successful setup.

👍 Strengths

Active community backing with 9,766 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in C++ for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with C++ and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 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 #693 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#688 ethereum-lists/chains Kotlin ★ 9.8K Compare ↗
#689 MahApps/MahApps.Metro C# ★ 9.8K Compare ↗
#690 falconry/falcon Python ★ 9.8K Compare ↗
#691 spinnaker/spinnaker Java ★ 9.8K Compare ↗
#692 wonderwhy-er/DesktopCommanderMCP TypeScript ★ 9.8K Compare ↗
#693 NVIDIA/cudf This Project C++ ★ 9.8K
#694 activeadmin/activeadmin Ruby ★ 9.7K Compare ↗
#695 doctrine/dbal PHP ★ 9.7K Compare ↗
#695 ashishb/android-security-awesome Makefile ★ 9.7K Compare ↗
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Frequently Asked Questions

What does cudf do? +

cuDF - GPU DataFrame Library

What language is cudf written in? +

The primary language is C++. Topics include: arrow, cpp, cuda, cudf, dask.

Is cudf actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 1,369 open issues being tracked.

How many stars does cudf have? +

cudf has 9,766 stars and 1,121 forks on GitHub.

How does cudf rank among GitHub repositories? +

With 9,766 stars, NVIDIA/cudf is ranked #693 globally across all repositories tracked on GitHubRepo and #42 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.

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