A Clojure implementation of the Mustache templating language, compliant with the official specification.
Clostache is a Clojure implementation of the Mustache templating language that allows developers to render logic-less templates with data maps. It solves the problem of separating presentation from business logic in Clojure applications by providing a specification-compliant template engine. The library supports all Mustache features including sections, partials, lambdas, and custom delimiters.
Clojure developers who need a reliable, specification-compliant templating solution for generating HTML, text, or other output formats. Particularly useful for web applications, documentation generation, or any text transformation tasks.
Developers choose Clostache because it's a mature, fully compliant Mustache implementation for Clojure with excellent documentation and community support. It provides predictable behavior across different Mustache implementations while integrating seamlessly with Clojure's data structures and functional programming patterns.
{{ mustache }} for Clojure
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Implements the official Mustache specification, ensuring reliable cross-language compatibility and predictable behavior, as stated in the README.
Allows calling Clojure functions from templates for advanced rendering logic, demonstrated in examples with custom text transformations.
Can render templates directly from classpath resources via `render-resource`, simplifying file management in Clojure applications.
Supports all Mustache features including sections, inverted sections, partials, and custom delimiters, providing a complete templating solution.
Adheres strictly to the Mustache philosophy, so it cannot handle complex conditional or iterative logic within templates, requiring data preprocessing in Clojure code.
Requires matching specific Clostache versions with Clojure runtime versions (e.g., 1.4 for Clojure 1.3/1.4), complicating upgrades or legacy system maintenance.
Compared to more popular templating engines, Clostache has a smaller community and fewer third-party tools or integrations, which might affect long-term support and learning resources.