A ggplot2 extension providing tech company themes, color scales, and geoms for R data visualization.
ggtech is an R package that extends the popular ggplot2 visualization library with themes, color scales, and geoms based on tech company branding. It solves the problem of creating data visualizations that match the visual identity of companies like Airbnb, Google, and Facebook, making plots more stylistically consistent with tech industry presentations.
R users, data scientists, and analysts who create data visualizations with ggplot2 and want to apply tech company branding aesthetics to their plots.
Developers choose ggtech because it provides ready-to-use, professionally designed themes and color palettes from major tech companies, saving time compared to manually recreating these styles and ensuring visual consistency with tech branding guidelines.
ggplot2 tech themes, scales, and geoms
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Provides ready-to-use ggplot2 themes for companies like Airbnb, Google, and Facebook, as shown in the README with examples like theme_tech(theme='airbnb') and theme_airbnb_fancy().
Includes scale_fill_tech and scale_color_tech functions that apply company-specific color palettes, ensuring visual consistency with tech branding in plots.
Offers geom_tech() for adding point geometries with tech company logos or styles, inspired by emoGG, enhancing aesthetic appeal without manual design.
Provides detailed instructions and download links for installing official fonts from each tech company, though it requires manual setup via the extrafont package.
Requires users to manually download and install fonts using external links, which is time-consuming, error-prone, and may fail in restricted environments, as highlighted in the README's font installation section.
Only supports a predefined list of tech companies (e.g., Airbnb, Etsy, Facebook), with no built-in mechanism for adding custom brands or themes, limiting flexibility for other use cases.
Relies on the extrafont package for font management, adding an extra dependency that can complicate installation and introduce compatibility issues with other R packages or systems.
Font download links point to external sources like Dropbox and social-fonts.com, which could become broken over time, risking usability without active maintenance from the repository.