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rdpeng/cachesweave

Tools for caching Sweave computations and storing them in key-value databases

★16STARS
⑂5FORKS
!2ISSUES
🏆#15,633GLOBAL RANK
🔥26DAYS TRENDING
🚀
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+10

STARS · LAST 30 DAYS

1

PER DAY

#3

MOST-STARRED R

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

cachesweave gained 10 stars in the last 30 days, about 1 a day, and now has 16. It is about 18 years old and has averaged roughly 1 stars a year. It ranks #3 among R repositories and #15,633 across all languages on GitHubRepo.

Trending Record

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

💡 Overview

cachesweave is an open-source project written in R: Tools for caching Sweave computations and storing them in key-value databases.

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

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/rdpeng/cachesweave.git
cd cachesweave

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

R environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

cachesweave 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 cachesweave 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

1

Install cachesweave using your package manager: `git clone https://github.com/rdpeng/cachesweave.git`

2

Initialize your project workspace or configuration file for cachesweave.

3

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

4

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

👍 Strengths

Active community backing with 16 GitHub stars and verified adoption.
Permissive open-source distribution under the Open Source 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

B
kbroman/broman ★ 183 R

R/broman: A package with Karl Broman's personal R code

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Q
kbroman/qtl ★ 89 R

R/qtl: A QTL mapping environment

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Q
kbroman/qtlbook ★ 5 R

R/qtlbook: Datasets for the R/qtl book

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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

rdpeng/cachesweave is currently ranked #15,633 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#15,522 norbert/has_uuid Ruby ★ 17 Compare ↗
#15,522 brosner/django-sqlalchemy Python ★ 17 Compare ↗
#15,522 ndarilek/rb-gps Ruby ★ 17 Compare ↗
#15,522 up_the_irons/credit_card_tools Ruby ★ 17 Compare ↗
#15,522 carldaws/hunch Ruby ★ 17 Compare ↗
#15,633 rdpeng/cachesweave This Project R ★ 16
#15,633 defunkt/ambitious_activeldap Ruby ★ 16 Compare ↗
#15,633 rabble/icalico Ruby ★ 16 Compare ↗
#15,633 defunkt/fixture_scenarios_builder Ruby ★ 16 Compare ↗
#15,633 hallski/loudmouth-ruby C ★ 16 Compare ↗
#15,633 defunkt/ambitious_activerecord Ruby ★ 16 Compare ↗

Frequently Asked Questions

What does cachesweave do? +

Tools for caching Sweave computations and storing them in key-value databases

What language is cachesweave written in? +

The primary language is R. Topics include: software.

Is cachesweave actively maintained? +

Yes, the last recorded push was on Sep 11, 2019 with 2 open issues being tracked.

How many stars does cachesweave have? +

cachesweave has 16 stars and 5 forks on GitHub.

How does cachesweave rank among GitHub repositories? +

With 16 stars, rdpeng/cachesweave is ranked #15,633 globally across all repositories tracked on GitHubRepo and #3 among R projects.

What license is cachesweave distributed under? +

No SPDX license identified yet. Code without a license is subject to copyright by default.

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