r_study is an open-source project written in R.
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Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#4
MOST-STARRED R
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
r_study gained 10 stars in the last 30 days, about 1 a day, and now has 2. It is about 17 years old and has averaged roughly 0 stars a year. It ranks #4 among R repositories and #20,162 across all languages on GitHubRepo.
Trending Record
20
DAYS ON TRENDING
#100
BEST RANK
May 16, 2009
FIRST APPEARANCE
Active
STATUS TODAY
r_study has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:
💡 Overview
r_study is an open-source project written in R.
Engineered for speed, consistency, and developer ease, it solves common hurdles in R. 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 R 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/satzz/r_study.git
cd r_study
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
R environment and standard tooling
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
r_study 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 r_study 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 source license.
🚀 Getting Started
Install r_study using your package manager: `git clone https://github.com/satzz/r_study.git`
Initialize your project workspace or configuration file for r_study.
Import r_study into your codebase or invoke it directly from your terminal.
Execute your test suite or run `r_study --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
satzz/r_study is currently ranked #20,162 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #18,723 | matschaffer/mechaflickr | Ruby | ★ 3 | Compare ↗ |
| #18,723 | gnu-lorien/crapvine | Python | ★ 3 | Compare ↗ |
| #18,723 | francois/fogbugz-svnhook | — | ★ 3 | Compare ↗ |
| #18,723 | anildigital/getfake | Ruby | ★ 3 | Compare ↗ |
| #18,723 | mudge/blankable | Ruby | ★ 3 | Compare ↗ |
| #20,162 | satzz/r_study This Project | R | ★ 2 | |
| #20,162 | pdsphil/ruby-merlin | Ruby | ★ 2 | Compare ↗ |
| #20,162 | daaku/tempdir | Ruby | ★ 2 | Compare ↗ |
| #20,162 | morgs/poll-builder | Python | ★ 2 | Compare ↗ |
| #20,162 | locusf/monotooth | HTML | ★ 2 | Compare ↗ |
| #20,162 | xman/utility | Shell | ★ 2 | Compare ↗ |
Frequently Asked Questions
What does r_study do? +
r_study is an open-source project written in R.
What language is r_study written in? +
The primary language is R. Topics include: software.
Is r_study actively maintained? +
Yes, the last recorded push was on Jun 20, 2009 with 0 open issues being tracked.
How many stars does r_study have? +
r_study has 2 stars and 1 forks on GitHub.
How does r_study rank among GitHub repositories? +
With 2 stars, satzz/r_study is ranked #20,162 globally across all repositories tracked on GitHubRepo and #4 among R projects.
What license is r_study distributed under? +
No SPDX license identified yet. Code without a license is subject to copyright by default.