Overview
SASPy on Ubuntu 26.04 with Free Maintenance Support by bCloud
SASPy on Ubuntu 26.04, with maintenance support from bCloud, is a repackaged open-source Python library that enables developers and data professionals to access and interact with SAS environments from Python. SASPy provides an interface for submitting SAS code, executing procedures, exchanging data, and integrating SAS analytics into Python-based workflows.
This pre-configured SASPy environment on Ubuntu 26.04 enables data scientists, analysts, Python developers, and organizations to build integrated Python and SAS workflows with minimal setup effort on cloud infrastructure such as AWS EC2.
Keywords of SASPy
- Python SAS integration
- SAS programming with Python
- Data analytics workflows
- Statistical computing
- SAS code execution
- Python data science
- Data exchange between Python and SAS
- Analytics automation
- Open-source Python library
- Optional bCloud maintenance support
Core Technical Capabilities of SASPy
Python and SAS Integration
SASPy provides Python APIs for interacting with SAS software and incorporating SAS functionality into Python applications and analytical workflows.
- Python interface for SAS environments
- submission and execution of SAS code
- integration of SAS analytics into Python workflows
SAS Code Execution
SASPy enables Python applications to submit SAS programs and procedures through supported SAS access methods.
- execute SAS code from Python
- retrieve SAS execution results
- support for SAS procedures and analytical workflows
Data Exchange and Management
SASPy provides functionality for moving and working with data between Python and SAS environments.
- transfer data between Python and SAS
- work with SAS datasets
- integration with Python data analysis workflows
Python Data Science Integration
SASPy can be incorporated into Python-based analytics environments and data science workflows.
- integration with Python applications
- support for data analysis workflows
- automation of SAS-based analytical tasks
Analytics Workflow Automation
SASPy helps developers automate interactions with SAS from Python applications and scripts.
- scriptable SAS operations
- repeatable analytics workflows
- integration with existing Python automation tools
Cloud-Optimised Advantages
Pre-Configured Environment
The SASPy environment provides:
- pre-installed SASPy on Ubuntu 26.04
- ready-to-use Python and SAS integration environment
- reduced installation and configuration time
Cloud Infrastructure Compatibility
SASPy environments can be deployed and managed using standard cloud infrastructure:
- EC2 for Python and analytics workloads
- VPC and Security Groups for controlled network access
- EBS for application files and analytical data
Development and Automation Workflows
SASPy supports modern development and analytics workflows:
- Python scripting and automation
- integration with data science projects
- repeatable SAS analytics workflows
Maintenance Support (bCloud)
Optional bCloud support may include:
- SASPy installation and configuration
- Python environment troubleshooting
- deployment and operational assistance
- SASPy integration guidance
SASPy is an open-source Python library. SAS software and related SAS products are proprietary products of SAS Institute Inc. A valid SAS environment and applicable licensing may be required for SASPy to perform SAS-related operations. Support beyond the open-source SASPy environment may incur additional charges.
Highlights
- Data exchange between Python and SAS.
- Ideal for enterprise analytics workflows.
- Python-to-SAS integration.
Details
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Pricing
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.10 |
t2.micro | $0.001 |
t3.micro | $0.10 |
m5.large | $0.10 |
t2.small | $0.10 |
r5.large | $0.10 |
m3.large | $0.10 |
t2.xlarge | $0.10 |
m3.medium | $0.10 |
c3.large | $0.10 |
Vendor refund policy
No Refund
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Packaged with latest updates as of June 2026.
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #sudo su #sudo apt update #cd /opt/saspy #source venv/bin/activate #python -c "import saspy; print(saspy.version)"
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Phone: +1 (408) 646-8523 Email:cloud@bcloud.ai Website:
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