Semlib is a Python library that facilitates the construction of data processing and analysis pipelines using large language models (LLMs), employing natural language descriptions instead of traditional code. It enhances data processing quality, feasibility, latency, cost efficiency, security, and flexibility by breaking down complex tasks into simpler, manageable subtasks. The library combines functional programming principles with the capabilities of LLMs to optimize data handling and improve results.