Mungbean (Vigna radiata L.) seeds and sprouts are rich in nutrients and have important human health benefits and medicinal uses. However, understanding the genetic variation, population structure, and genes associated with important traits in mungbean has proven to be challenging. With the rapid development of sequencing technology, genetic data for an increasing number of legume crops are accessible for gene mining. In this study, we first integrated multi-omics datasets for selected legume crops, including genomic data for 217 mungbean accessions, transcriptomic data for five legume species, proteomic data for Mungbean ‘Jilv 7,’ and phenotypic data for five legume species. The Legume Omics Resources Center (LORC; https://njh.biobin.com.cn/cgi-bin/legume/Display.cgi?page=/home ) public database was constructed. LORC provides multiple search and visualization functions, which include genomic sequences, genome structure, gene annotations, single-nucleotide polymorphism markers, presence/absence variation information, and gene expression data. Overall, LORC represents a rich genetic resource and incorporates easy-to-use analytical tools, and lays a sound foundation for further analysis of the genetic diversity and breeding of legume crops.