Data Pipelines

rsruby

Ruby - R bridge for data analysis and visualization.

Status
UnmaintainedNo commits in 3501 days.
Last checked
Aging · Sep 3, 2026
License
Open source
Pricing
Free tier · from $0

What it is

RsRUBY provides a seamless interface between Ruby and the R programming language, enabling developers to leverage R's powerful statistical capabilities within Ruby applications. This is particularly useful for integrating complex data analysis into web applications built with Ruby on Rails.

RsRUBY stands out by providing a direct bridge between the Ruby programming language and R's powerful statistical capabilities, enabling seamless data analysis within Ruby applications without the need to switch environments.

When it fits — and when it doesn’t

A good fit for

  • Ruby developers who need to integrate advanced statistical analysis into their web applications without leaving the Ruby environment.

  • Data scientists working with Ruby on Rails who require access to R's extensive data analysis libraries.

Look elsewhere if

  • Developers looking for a cloud-based solution, as RsRUBY is designed for local integration.

  • Projects that do not involve both Ruby and R, where a standalone tool would suffice.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Steep learning curve for users unfamiliar with both Ruby and R

    Understanding how RsRUBY bridges the two languages requires proficiency in both Ruby and R, which can be a barrier to entry.

  2. 02

    Limited documentation and community support

    RsRUBY has sparse official documentation and a relatively small user base, leading to fewer resources for troubleshooting and learning.

  3. 03

    Performance overhead due to inter-language communication

    The process of passing data between Ruby and R can introduce significant performance bottlenecks, especially with large datasets or complex operations.

What it does well

  • Seamless integration between Ruby and R environments.

  • Enables developers to use R's extensive statistical libraries within Ruby applications.

  • Supports both interactive and batch processing of data analysis tasks.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up rsruby

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →