The CNSKnowall platform was founded by master's and doctoral students from Fudan University Shanghai Medical College and Shanghai Jiao Tong University School of Medicine. CNS refers to the abbreviations of the top three journals Cell, Nature, and Science, and Knowall implies comprehensive knowledge and simplicity. The platform aims to enable researchers to achieve CNS-level research quality and standards effortlessly. It innovatively revolutionizes traditional data analysis tools and modes, reducing the difficulty of scientific charting, bioinformatics analysis, and statistical analysis to an unprecedented level! CNSKnowall was created to address the increasing demand for high-difficulty data analysis and the limitations of outdated tools. Compared to SPSS, Origin, GraphPad Prism, and R language, CNSKnowall offers a series of groundbreaking innovations in data uploading, color adjustment, and parameter modification. With minimal learning costs (both time and money), the platform provides over 400 data analysis visualization charts along with sample data, fundamentally changing the traditional mode of downloading software and searching for tutorials and codes. Researchers can use preformatted data templates to quickly generate CNS-level charts with simple operations, making high-level data analysis accessible to everyone.