MLX-Ruby – Ruby Bindings for Apple's MLX ML Framework
Full MLX power in Ruby: lazy arrays, Metal GPU, transformer layers—but Ruby adoption risk.
Native Ruby bindings for the GD graphics library, providing fast image processing, drawing, filters, and alpha-blending without external dependencies.
GD bindings for Ruby exist already; Jupyter integration is the only fresh angle.
Ruby developers needing programmatic image generation
RMagick · mini_magick · ruby-vips
Full MLX power in Ruby: lazy arrays, Metal GPU, transformer layers—but Ruby adoption risk.
Rendering GeoJSON to images entirely in Ruby — with YAML styles, server-side tile generation and animated GIF output — is an unexpectedly practical move for shops that want zero JS/native deps. The examples show thoughtful control (fonts, antialias, basemap presets) and real-world outputs, though performance and advanced projection/feature parity versus Mapnik/GDAL remain open questions.
Interactive decision tree viz for notebooks when dtreeviz already exists.
Wordle for calculus nerds: fit functions to daily curves.
Finally: XLOOKUP, FILTER, dynamic arrays in Python—openpyxl can't, xlcalc won't.
FFM bindings beat JNI by 2x on reads, but you need JDK 25+.