Protein half-life plays a critical role in microbial metabolic engineering by influencing enzyme functionality and production yield. However, experimental determination of protein half-life is labor-intensive and computational prediction remains underexplored in prokaryotes. To address this gap, we developed a deep learning-based model, ProHL, for binary classification of prokaryotic proteins as stable or degradable.