Proteins seldom perform their biological functions independently, and most complex cellular processes must be understood via large-scale PPI network. Genome-wide PPI networks have become powerful tools to study the cellular behaviors with a global view, and they can reveal the relationships between different kinds of proteins with various functions. In total, 1871563 rice PPIs were collected from database as PRIN, RiceNet, IntAct and some related articles, among them 929 PPIs were experimented with yeast two-hybrid system. In PPI-tools, we visualize these interactions with different color nodes to represent the different pathway classifications of the proteins. Related data will be continuously updated.