{"categories":[{"label":"Shells","url":"https://skillfed.io/packages/category/system-shells"}],"enrichment":{"capability":"SASPy connects Python to SAS deployments (local or remote) to run SAS code and return results as text, HTML, or Pandas DataFrames, enabling mixed Python/SAS workflows.","skillfed_tags":["sas-integration","data-interchange","analytics-bridge"],"use_cases":["Submit SAS procedures from Python and retrieve results as Pandas DataFrames for further analysis.","Convert SAS datasets to Pandas for Python-based machine learning, then push results back to SAS.","Run SAS analytics in Jupyter or Databricks notebooks while controlling workflow logic from Python.","Automate SAS batch jobs from Python scripts, capturing output and graphics programmatically.","Build mixed-language data pipelines that leverage both SAS and Python strengths in a single process."],"what_it_does":"SASPy is a bridge between Python and SAS that lets you write Python code to submit SAS programs to local or remote SAS systems and retrieve results back into Python. It converts between SAS datasets and Pandas DataFrames, supports multiple deployment types (Linux, Windows, MVS), and works in notebooks, IDEs, and batch scripts. The package generates SAS code from Python objects and methods, or accepts explicit SAS code you write, then returns analytics results as text, HTML5 documents, or structured data.\n\nThe package is designed for teams that need to combine SAS and Python capabilities in a single workflow\u2014for instance, preprocessing data in Python, running SAS analytics, and post-processing results back in Python. It has no runtime dependencies beyond Python itself, though it requires an active SAS installation to connect to. The project is actively maintained and has been in development since 2016.","worth_installing":"Yes, if you need to integrate SAS with Python workflows. The package is actively maintained, has no external dependencies, uses a permissive license, and is designed for exactly this use case. Install only if you have access to a SAS 9.4+ or SAS Viya 3+ deployment and need bidirectional Python-SAS integration."},"id":"saspy","links":{"html":"https://skillfed.io/packages/saspy","md":"https://skillfed.io/packages/saspy.md","pypi":"https://pypi.org/project/saspy/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-23","license_spdx":null,"license_treatment":"permissive","name":"saspy","python_support":"unspecified","summary":"A Python interface to SAS"},"popularity":{"monthly_downloads":311533,"position":7731,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"5.108.6"}