Ruffus is a lightweight Python library designed for the creation of complex computation pipelines, typically used for scientific analyses and data processing. It allows users to build workflows by specifying a series of tasks with dependent relationships, making it easier to automate processes that can be error-prone if done manually. Ruffus provides decorators to define these tasks and manage dependencies, ensuring that only necessary parts of a pipeline are executed when data changes. This enhances efficiency and reduces computational overhead. The library is flexible and can be easily integrated into existing projects, supporting various levels of workflow complexity.