1.GNU Octave: An open source numerical calculation and scientific programming language similar to MATLAB, which provides a wide range of mathematical processing and data analysis functions, and can be used for batch operation, data processing and regression analysis.
2.R language: R is a popular open source statistical analysis language, which provides rich functions such as statistics, regression analysis and modeling. R has a large number of expansion packages, which can meet various data processing needs.
3.Python: Python is a general programming language, which has many data processing, machine learning and scientific computing libraries, such as NumPy, SciPy, pandas, etc. These libraries provide powerful mathematical and data analysis functions, and are suitable for various batch operations, correlation processing, regression analysis and model building tasks.
4.OpenOffice or LibreOffice: This is a free office software suite, including functions similar to SPSS and Excel. Although their functions are not as good as professional statistical software, they are enough for general data processing and simple statistical analysis.
These softwares and tools have good compatibility and can be used in UOS system. You can choose the software that suits you according to your specific needs, and find and learn relevant use documents and tutorials during the use.