{"id":13697568,"url":"https://github.com/sassoftware/saspy","last_synced_at":"2025-05-14T08:09:08.170Z","repository":{"id":6271993,"uuid":"55245781","full_name":"sassoftware/saspy","owner":"sassoftware","description":"A Python interface module to the SAS System. It works with Linux, Windows, and Mainframe SAS as well as with SAS in Viya. 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This package enables a Python developer to create mixed Python/SAS workflows to leverage the\npowers of both SAS and Python, by connecting a Python process to any of a variety of SAS deployments, where it will run SAS code. The SAS code is\ngenerated by the SASPy object and methods or explicitly user written. Results from SAS are returned as text, HTML5 documents (via SAS ODS), or as\nPandas Data Frames. This package supports running analytics and returning the resulting graphics and result data to the Python process. It can convert\ndata representations between SAS Data Sets and Pandas Data Frames.\n\nThis package has multiple access methods which allow it to connect to local or remote Linux SAS, IOM SAS on Windows, Linux (Including Grid Manager),\nor MVS, and local PC SAS. It can run within various Notebooks platforms, or IDE's/UI's or in interactive line mode Python or in Python batch scripts.\n\nIt is expected that the user community can, and will, contribute enhancements.\n\n# Badges\n[![OpenSSF Best Practices](https://bestpractices.coreinfrastructure.org/projects/6716/badge)](https://bestpractices.coreinfrastructure.org/projects/6716)\n\n# Prerequisites\n- Python3.x or above\n- SAS 9.4 or above\n- SAS Viya 3 or above\n\n# Connecting offering\n- Linux SAS: local or remote, including Grid Manager\n- Windows SAS: local or remote\n- MVS SAS: remote\n- Jupyter, Databricks and/or Zeppelin Notebooks\n- Interactive Line mode, Python IDE's or other UI's\n- Batch Python scripts\n\n# Getting Started\n\nAll of the documentation, including installalation and configuration information can be found at\n[sassoftware.github.io/saspy](https://sassoftware.github.io/saspy/).\n\nAlso, example Notebooks and use cases can be found at\n[sassoftware/saspy-examples](https://github.com/sassoftware/saspy-examples/).\n\n# Contributing\nThe [Contributing](https://github.com/sassoftware/saspy/blob/main/CONTRIBUTING.md) file explains the rules and conventions to follow while\nContributing to this project. It also contains the **Contributor Agreement** instructions.\n\n# Licensing\nLicensed under the Apache License, Version 2.0 (the \"License\"); you may not use this file except in compliance with the License. You may obtain a copy of\nthe License at [LICENSE.txt](https://github.com/sassoftware/saspy/blob/main/LICENSE.md)\n\nUnless required by applicable law or agreed to in writing, software distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT WARRANTIES\nOR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.\n\n# Additional Resources\n- [Python Website](http://www.python.org/)\n- [SASPy Documentation](https://sassoftware.github.io/saspy/).\n- [SASPy Examples](https://github.com/sassoftware/saspy-examples)\n","funding_links":[],"categories":["Official Resources"],"sub_categories":["Text editors support for SAS language"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsassoftware%2Fsaspy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsassoftware%2Fsaspy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsassoftware%2Fsaspy/lists"}