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tidyverse/ggplot2

An implementation of the Grammar of Graphics in R

R ◇ data-visualisation NOASSERTION
★7KSTARS
⑂2.1KFORKS
!121ISSUES
🏆#1,010GLOBAL RANK
🔥71DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for tidyverse/ggplot2
CSV

Momentum

+175

STARS · LAST 30 DAYS

6

PER DAY

#1

MOST-STARRED R

Window7 days30 days90 days
Stars gained+42+175+540
Per day666
Forks gained+11+42+106

ggplot2 gained 175 stars in the last 30 days, about 6 a day, and now has 7K. It is about 18 years old and has averaged roughly 389 stars a year. It ranks #1 among R repositories and #1,010 across all languages on GitHubRepo.

Trending Record

ggplot2 has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:

💡 Overview

ggplot2 is an open-source project written in R: An implementation of the Grammar of Graphics in R.

Engineered for speed, consistency, and developer ease, it solves common hurdles in data-visualisation, r, visualisation. 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 R 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/tidyverse/ggplot2.git
cd ggplot2

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

R environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ggplot2 coordinates its core functionality through a modular R 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 ggplot2 into R 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 NOASSERTION license.

🚀 Getting Started

1

Install ggplot2 using your package manager: `git clone https://github.com/tidyverse/ggplot2.git`

2

Initialize your project workspace or configuration file for ggplot2.

3

Import ggplot2 into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `ggplot2 --help` to verify successful setup.

👍 Strengths

Active community backing with 7,003 GitHub stars and verified adoption.
Permissive open-source distribution under the NOASSERTION license.
Built in R 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 R 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.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with R, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

tidyverse/ggplot2 is currently ranked #1,010 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,005 agones-dev/agones Go ★ 7.1K Compare ↗
#1,006 anomalyco/models.dev TypeScript ★ 7K Compare ↗
#1,007 paper-trail-gem/paper_trail Ruby ★ 7K Compare ↗
#1,008 facebook/sapling Rust ★ 7K Compare ↗
#1,009 facebook/pyrefly Rust ★ 7K Compare ↗
#1,010 tidyverse/ggplot2 This Project R ★ 7K
#1,010 massCodeIO/massCode TypeScript ★ 7K Compare ↗
#1,010 tamaratran/fast-jev-compaction TypeScript ★ 7K Compare ↗
#1,012 SuanmoSuanyangTechnology/MemoryBear Python ★ 7K Compare ↗
#1,013 apache/couchdb Erlang ★ 7K Compare ↗
#1,014 evidence-dev/evidence TypeScript ★ 7K Compare ↗

Frequently Asked Questions

What does ggplot2 do? +

An implementation of the Grammar of Graphics in R

What language is ggplot2 written in? +

The primary language is R. Topics include: data-visualisation, r, visualisation.

Is ggplot2 actively maintained? +

Yes, the last recorded push was on Sep 24, 2026 with 121 open issues being tracked.

How many stars does ggplot2 have? +

ggplot2 has 7,003 stars and 2,124 forks on GitHub.

How does ggplot2 rank among GitHub repositories? +

With 7,003 stars, tidyverse/ggplot2 is ranked #1,010 globally across all repositories tracked on GitHubRepo and #1 among R projects.

What license is ggplot2 distributed under? +

The repository reports a NOASSERTION license. Always verify the repository LICENSE file for legal terms.

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