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ruby_scientist_and_graphics

v0.1.1RubyGems· Ruby

Ruby Scientist and Graphics is a practical data science toolkit for Ruby. It includes a lightweight built-in DataFrame for loading, cleaning, and transforming data; quick descriptive statistics and correlations; charting via Gruff (bar and line); and simple ML utilities (linear regression and k-means)—all behind a small, unified, pandas-inspired API. Key features: - Load data from CSV and JSON. - Clean and transform (remove/add columns, handle missing values, limit rows). - Describe datasets and compute correlations quickly. - Create bar and line charts with customization options. - Train/predict with linear regression; cluster with k-means. - Save/load project state (data + trained model) and run simple pipelines. - Optional backend adapters (e.g., Rover) while keeping the same API. Ideal for analysts and developers who want to explore data in Ruby without relying on Python or R. Note: plotting via Gruff uses rmagick, which requires ImageMagick installed on the system.

The verdict
Aging — last published 10 months ago — check before adopting. Check the repo for activity before adopting.
Check the repo for activity before adopting.
Live from the RubyGems registry · derived rules, not AI
How it scores
MaintenanceAging
PopularityNiche
SecurityClean
LicensePermissive
DepsZero deps
Maintenance
Last published 10 months ago — check before adopting.
Popularity
9 downloads / week
Security
No known advisories for this version (OSV).
License
MIT
Dependencies
No runtime dependencies
Recent releases
  • 0.1.110 months ago
  • 0.1.010 months ago
ruby_scientist_and_graphics — Ruby Scientist and Graphics is a practical data science toolkit for Ruby. It includes a lightweight built-in DataFrame for loading, cleaning, and transforming data; quick descriptive statistics and correlations; charting via Gruff (bar and line); and simple ML utilities (linear regression and k-means)—all behind a small, unified, pandas-inspired API. Key features: - Load data from CSV and JSON. - Clean and transform (remove/add columns, handle missing values, limit rows). - Describe datasets and compute correlations quickly. - Create bar and line charts with customization options. - Train/predict with linear regression; cluster with k-means. - Save/load project state (data + trained model) and run simple pipelines. - Optional backend adapters (e.g., Rover) while keeping the same API. Ideal for analysts and developers who want to explore data in Ruby without relying on Python or R. Note: plotting via Gruff uses rmagick, which requires ImageMagick installed on the system. (Ruby / RubyGems) · Modules