Convert SAS to Python instantly. Perfect for migrating enterprise analytics from SAS to open-source Python, eliminating licensing costs while maintaining statistical rigor.
Paste code in both editors to see differences
Hint: Paste original code on left, modified code on right, then click Compare to see differences highlighted.
Hint: Paste your code, customize font size and line numbers, then click Export PDF to download formatted code.
Hint: Paste your JWT token to decode and view its header, payload, and signature. The tool validates token structure and format.
Hint: Select conversion type, paste your data, and get instant conversion. Supports JSON, YAML, XML, Excel, PDF, and more.
Hint: Describe what you want to build or paste requirements, select target language, and click Generate.
Need a different conversion? Visit our converter hub for more options.
Converting SAS to Python eliminates expensive licensing costs while accessing Python's rich data science ecosystem including machine learning, web integration, and modern deployment tools. Our AI converter translates SAS DATA steps to pandas operations, PROC statements to statistical functions, and macros to Python functions. Perfect for enterprises reducing software costs, teams modernizing legacy analytics pipelines, or organizations moving from proprietary SAS to open-source Python stack. Handles SAS-specific features like DATA step processing, PROC procedures, macro language, and SAS functions, transforming them into equivalent pandas, NumPy, and scipy operations that maintain analytical accuracy.
Converts SAS DATA steps to pandas operations. SET statements become dataframe reads, IF-THEN logic becomes boolean indexing or apply(), MERGE converts to pandas merge(), and BY-group processing maps to groupby().
Transforms PROC statements to Python equivalents. PROC MEANS/SUMMARY become describe() or agg(), PROC FREQ maps to value_counts(), PROC REG/LOGISTIC convert to statsmodels or scikit-learn models.
Converts SAS macro language to Python functions. Macro variables become function parameters, %IF/%DO logic becomes Python control flow, and macro loops convert to Python iteration or list comprehensions.
Migrates statistical procs to scipy.stats or statsmodels. PROC TTEST becomes ttest_ind(), PROC ANOVA maps to f_oneway(), and advanced modeling uses statsmodels OLS or scikit-learn.
SAS DATA steps convert to pandas operations. SET statements become dataframe assignments, IF-THEN logic becomes pandas filtering or apply functions, and RETAIN statements map to pandas shift operations or cumulative functions.
SAS PROC statements convert to pandas/scipy equivalents. PROC MEANS becomes df.describe() or df.agg(), PROC FREQ becomes value_counts(), PROC REG maps to statsmodels or scikit-learn, and PROC SQL converts to pandas operations or SQL via pandasql.
Yes! SAS macros convert to Python functions or jinja2 templates. Macro variables become function parameters, %IF/%THEN logic becomes Python if/else, and macro loops convert to Python for loops or list comprehensions.
