lea

Lea uses the pipe operator `/>` to compose transformations linearly, letting you chain functions together to process data step-by-step without nested function calls or intermediate variables, improving readability for functional pipelines.

Yes, Lea supports trailing decorators and context injections that simplify dependency injection and observability within pipelines, reducing boilerplate when you need to attach metadata or inject dependencies across composed functions.

Lea provides map, filter, reduce, async operations, and template strings as builtins within its pipe-oriented syntax, enabling you to build robust data processing workflows with first-class pipelines and interpreter-driven execution.

Lea includes a tree-walk interpreter with REPL and file execution tooling, supporting indentation- or brace-delimited multi-statement bodies, so you can test pipelines interactively or execute complete scripts from files.

Pipe composition excels when chaining multiple transformations on data; Lea's `/>` syntax reads left-to-right like natural data flow, eliminating deeply nested parentheses and making complex transformation logic easier to follow and maintain.