PyDough Community Edition (PyDough-CE) is an open-source project designed to make natural language analytics practical and secure by using a domain-specific language (DSL) called PyDough. Rather than allowing language models to generate raw SQL, which can be risky and untrustworthy due to issues like prompt injection and SQL dialect sprawl, PyDough lets models generate short, auditable plans that are compiled into correct SQL for any database backend. This approach enhances trustworthiness, portability, and auditability by acting as a protective layer between natural language inputs and SQL output, ensuring that generated code is safe and valid. PyDough-CE provides a comprehensive workflow that includes converting database schemas into a knowledge graph, translating natural queries into PyDough plans, compiling these into SQL, and executing the queries, all while maintaining transparency and safety. It is particularly useful for teams managing multiple database dialects, as it simplifies query management and minimizes risks associated with open-ended SQL generation, while its open-source nature allows for community contributions and feedback.