**Wekemo Bioincloud: A User-Friendly Platform for Meta-omics Data Analyses** The increasing application of meta-omics approaches has led to a surge in available data, posing new scalability challenges for existing bioinformatics tools. In response, Wekemo Bioincloud has been developed as a specialized platform for meta-omics studies. This platform offers a comprehensive analysis solution, designed to address the challenges of tool selection for users facing expanding data sets. As of now, Wekemo Bioincloud features 22 workflows and 65 visualization tools, making it a user-friendly and widely embraced platform for studying diverse data sets. The platform enables online modification of vector outputs and a registration-independent personalized dashboard system, ensuring privacy and traceability. Wekemo Bioincloud is freely available at <https://www.bioincloud.tech/>. **Keywords:** bioinformatics, meta-omics, microbiome, user-friendly platform, Wekemo Bioincloud **Highlights:** - Wekemo Bioincloud offers workflows for diverse meta-omics data analysis and a rich array of tools for effective data visualization. - It enables the online modification of vector outputs, achieving publication-ready figures. - The platform displays tools' popularity/usage trends, enhancing flexibility and user experience. **Introduction:** Recent advancements in meta-omics approaches have transformed the understanding of complex biological systems. However, the abundance of data presents challenges for robust and user-friendly bioinformatics tools. Wekemo Bioincloud addresses these challenges by providing a comprehensive analysis solution, including 22 workflows and 65 visualization tools. The platform supports various types of meta-omics data, from metagenomics to metabolomics, and offers personalized analyses tailored to researchers' needs. **Results:** - **Wekemo Bioincloud Overview:** The platform consists of two main components: workflows and tools. Users can analyze data step-by-step using workflows and easily showcase their data with visualization tools. - **Cloud Workflows for Meta-omics Data:** Wekemo Bioincloud offers 22 data analysis workflows for metagenomic, metatranscriptomic, metaproteomic, metaviromic, metabolomic, genomic, and physicochemical data. - **Graphical Tools for Different Purposes:** The platform provides 65 subfunctions for various analyses, including contribution, richness, composition, group comparison, statistical analyses, functional or metabolic pathways, differentially expressed genes, phylogenetic relationships, correlation tests, and visualization pipelines. **Discussion:** Wekemo Bioincloud stands out by providing a wide range of workflows and tools, facilitating integrated analyses of multiple meta-omics data types. It supports personalized analyses and offers online SVG editors for adjusting plots. Future plans include integrating additional pipelines and enhancing accessibility with English video tutorials. **Conclusion:** Wekemo Bioincloud is a valuable solution for the growing challenges in metagenomics data analysis, offering a robust and user**Wekemo Bioincloud: A User-Friendly Platform for Meta-omics Data Analyses** The increasing application of meta-omics approaches has led to a surge in available data, posing new scalability challenges for existing bioinformatics tools. In response, Wekemo Bioincloud has been developed as a specialized platform for meta-omics studies. This platform offers a comprehensive analysis solution, designed to address the challenges of tool selection for users facing expanding data sets. As of now, Wekemo Bioincloud features 22 workflows and 65 visualization tools, making it a user-friendly and widely embraced platform for studying diverse data sets. The platform enables online modification of vector outputs and a registration-independent personalized dashboard system, ensuring privacy and traceability. Wekemo Bioincloud is freely available at <https://www.bioincloud.tech/>. **Keywords:** bioinformatics, meta-omics, microbiome, user-friendly platform, Wekemo Bioincloud **Highlights:** - Wekemo Bioincloud offers workflows for diverse meta-omics data analysis and a rich array of tools for effective data visualization. - It enables the online modification of vector outputs, achieving publication-ready figures. - The platform displays tools' popularity/usage trends, enhancing flexibility and user experience. **Introduction:** Recent advancements in meta-omics approaches have transformed the understanding of complex biological systems. However, the abundance of data presents challenges for robust and user-friendly bioinformatics tools. Wekemo Bioincloud addresses these challenges by providing a comprehensive analysis solution, including 22 workflows and 65 visualization tools. The platform supports various types of meta-omics data, from metagenomics to metabolomics, and offers personalized analyses tailored to researchers' needs. **Results:** - **Wekemo Bioincloud Overview:** The platform consists of two main components: workflows and tools. Users can analyze data step-by-step using workflows and easily showcase their data with visualization tools. - **Cloud Workflows for Meta-omics Data:** Wekemo Bioincloud offers 22 data analysis workflows for metagenomic, metatranscriptomic, metaproteomic, metaviromic, metabolomic, genomic, and physicochemical data. - **Graphical Tools for Different Purposes:** The platform provides 65 subfunctions for various analyses, including contribution, richness, composition, group comparison, statistical analyses, functional or metabolic pathways, differentially expressed genes, phylogenetic relationships, correlation tests, and visualization pipelines. **Discussion:** Wekemo Bioincloud stands out by providing a wide range of workflows and tools, facilitating integrated analyses of multiple meta-omics data types. It supports personalized analyses and offers online SVG editors for adjusting plots. Future plans include integrating additional pipelines and enhancing accessibility with English video tutorials. **Conclusion:** Wekemo Bioincloud is a valuable solution for the growing challenges in metagenomics data analysis, offering a robust and user