Hybrid Execution is a new capability introduced in the open-source Modin library that lets developers write familiar pandas code while automatically selecting the most efficient execution backend. Small datasets run locally for fast, interactive development, while larger workloads are transparently pushed down to distributed backends for scalable, high-performance execution. This approach enables faster development for rapid prototyping and iteration and future-proofs pipelines as data volumes grow.