Marcel is a simple static site generator.
Marcel is a modern, simple, and pluggable static site generator crafted in JavaScript. Currently in its prototyping phase, it aims to combine the ease of use with powerful features to create a seamless experience for developers looking to build static websites. Drawing inspiration from the likes of Hugo and Jekyll, Marcel embraces a familiar yet innovative approach to site generation, making it an appealing choice for both new and experienced developers.
Marcel focuses on providing an intuitive experience while emphasizing the use of Markdown for content. The project bridges the gap between versatility and simplicity, allowing users to generate static sites with predictable outcomes while also offering an opportunity for customization through plugins. Whether you're creating a personal blog or a more complex site, Marcel strives to meet varied user needs effectively.
Expressive Templates: Utilizes the nunjucks templating engine, allowing for inheritance and appealing structure in templates, enhancing the creative process.
Markdown Content: Primarily operates with Markdown, providing users with straightforward content management without compromising on control over HTML transformation.
Organized Hierarchy: Emphasizes the importance of content organization, facilitating an easy-to-navigate template hierarchy similar to that of WordPress.
User-Friendly Design: Aims for a fast and intuitive setup that lets users quickly adapt and start building simple sites right out of the box.
Customizable Plugins: Offers a plugin system for more complex functionalities, ensuring that users can fine-tune their site to meet specific requirements.
User Documentation: Committed to documenting the development process and technical decisions, making it accessible for others interested in creating similar tools.
Community Engagement: Encourages contributions, fostering a community around the project for shared learning and growth.
Comparative Inspiration: Takes cues from other successful static site generators, ensuring a well-rounded approach to features and capabilities.