ModelWhale, Data-Driven Research · Walking with the Trailblazers
ModelWhale, a data science collaboration platform owned by Heywhale. It deeply integrates functions such as data management, modeling and analysis, model training management, computing resource management, task management, etc., supports Python and R languages. Through progressively open data infrastructure, Jupyter Notebook interactive and Canvas drag-and-drop analysis interfaces, and an open and ready to use cloud analysis environment, it solves problems such as data security, underlying engineering complexity, and difficulties in the flow and reproduction of research results for researchers and teams, making data-driven research more convenient and efficient. Simplifying engineering complexity brings users a smooth user experience with a product design concept that matches the engineering ability of researchers, making ModelWhale receive widespread attention and high praise in the field of scientific research. At present, 30,000+ users from many top research institutions have conducted 400,000+ scientific research analyses through ModelWhale. Typical application scenarios include individual analysis, teamwork, open collaboration, teaching management, and research management. [Professional research scenarios] such as the National Meteorological Information Center of the China Meteorological Administration, the Institute of Medical Information of the Chinese Academy of Medical Sciences, Tsinghua University, Nankai University, East China Normal University; [Teaching training scenarios] such as Peking University, Shanghai Jiao Tong University, Peking Union Medical College, Tongji University, China University of Petroleum; [Government and enterprise data innovation research scenarios] such as China Telecom, China UnionPay, Beijing Health Insurance Administration, Merck China. Exploring data is like a sea of stars. ModelWhale aims to walk with pioneers, achieve mutual success and continue to grow.