R for Data Science
r4ds.hadley.nzA practical R workflow for transforming and visualizing data
A practical R workflow for transforming and visualizing data
An offline desktop toolkit for quick developer transformations, encoders, and text utilities.
A JavaScript font-reading, conversion and glyph-editing library.
Replace text in files or streams with a compact, readable command-line syntax.
Transform Python array functions with just-in-time compilation, automatic differentiation, and vectorization.
Edit, validate, transform, and publish XML in text and visual authoring modes.
Reshape colour relationships on a grid and export reusable LUTs.
Command-line vector-data conversion and transformation
Upload, transform, and deliver image or video assets through Cloudinary APIs.
Convert GIS and CAD data with coordinate-system changes
See how traditional Sass colour adjustments transform a starting swatch.
Coordinate strategic initiatives, project portfolios, and delivery across enterprise teams.
Transform and deliver images for a website
Compose image conversions and transformations in a shell
Music production with clips, MIDI transformations and instruments
Learn and test text patterns with live feedback
Data governance that builds a deterministic knowledge graph from code and data
A Python and R IDE that pairs script and notebook editing with live data exploration tools.
Data observability platform that catches silent data quality issues before they impact your business.
Data integration, quality, and analytics for AI-ready data
Specify institutional crypto data by venue, detail and usage rights
Query and deliver institutional pricing and reference data
Connect financial data providers to Python and research applications