The article introduces EVenn, a versatile platform for visualizing set relationships using Venn diagrams. EVenn addresses the operational complexity and lack of standardized data formats in traditional Venn diagram tools by offering a unified interface for efficient data exploration and visualization. The platform supports various Venn diagram types, including interactive diagrams, network representations, Euler diagrams, UpSet plots, flower plots, and Venn networks. These tools are designed to cater to the intricate needs of multiomics data analysis across metabolomics, genomics, transcriptomics, and proteomics. The article outlines the functionalities of EVenn, including data center, interactive Venn diagrams, Euler diagrams, UpSet plots, flower plots, Venn networks, and statistical significance computation. It also provides step-by-step demonstrations for data upload, file upload procedures, and intelligent constraints for data-related parameters. The platform's versatility is demonstrated through multiple use cases, such as analyzing differential metabolites, differentially expressed genes, ChIP-seq data, microbiome specificity, and GO enrichment results. EVenn is positioned as a valuable resource for researchers engaged in multiomics analysis, facilitating the exploration of novel insights and enabling data-driven decision-making.The article introduces EVenn, a versatile platform for visualizing set relationships using Venn diagrams. EVenn addresses the operational complexity and lack of standardized data formats in traditional Venn diagram tools by offering a unified interface for efficient data exploration and visualization. The platform supports various Venn diagram types, including interactive diagrams, network representations, Euler diagrams, UpSet plots, flower plots, and Venn networks. These tools are designed to cater to the intricate needs of multiomics data analysis across metabolomics, genomics, transcriptomics, and proteomics. The article outlines the functionalities of EVenn, including data center, interactive Venn diagrams, Euler diagrams, UpSet plots, flower plots, Venn networks, and statistical significance computation. It also provides step-by-step demonstrations for data upload, file upload procedures, and intelligent constraints for data-related parameters. The platform's versatility is demonstrated through multiple use cases, such as analyzing differential metabolites, differentially expressed genes, ChIP-seq data, microbiome specificity, and GO enrichment results. EVenn is positioned as a valuable resource for researchers engaged in multiomics analysis, facilitating the exploration of novel insights and enabling data-driven decision-making.