Posit vs. SAS Visual Statistics Comparison


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About Posit builds tools that help data scientists work more efficiently, collaborate seamlessly, and share insights securely across their organizations. Its Positron code editor provides the speed of an interactive console combined with the power to build, debug, and deploy data-science workflows in Python and R. Posit’s platform enables teams to scale open-source data science, offering enterprise-ready capabilities for publishing, sharing, and operationalizing applications. Companies rely on Posit’s secure infrastructure to host Shiny apps, dashboards, APIs, and analytical reports with confidence. Whether using open-source packages or cloud-based solutions, Posit supports reproducible, high-quality work at every stage of the data lifecycle. Trusted by millions of users—and more than half of the Fortune 100—Posit empowers professionals across industries to innovate with data.	About With SAS Visual Statistics, multiple users can explore data, then interactively create and refine predictive models. Your data scientists and statisticians can act on observations at a granular level using the most appropriate analytical modeling techniques. The result? You'll unearth insights at unprecedented speeds, and find new ways to grow revenue. Easily build and refine models to target specific groups or segments, and run numerous scenarios simultaneously. You can ask more what-if questions to get better results. And put results into action with an automatically generated score code. Empower multiple users to interact with data visually – to add or change variables, remove outliers, etc. Instantly see how changes affect your model's predictive power, and make refinements quickly. Data science teams have the ultimate flexibility of working in their language of choice, so they can use their skills to the fullest. SAS Visual Statistics unites all analytical assets.
Platforms Supported Windows Supported Mac Supported Linux Not Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Not Supported Linux Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Posit is ideal for data scientists, analysts, and enterprise teams seeking powerful, open-source-driven tools for coding, collaboration, and secure data-science deployment	Audience Enterprises searching for a solution to improve their discovery, prediction, and decision processes
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Supported Free Trial Supported	Pricing No information available. Free Version Not Supported Free Trial Supported
Reviews/Ratings Overall 5.0 / 5 ease 4.0 / 5 features 5.0 / 5 design 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros Powerful statistical tools. Good quality customisable plots, all different types using all different data and models. Easy to import from csv and there's plenty of datasets around if you go looking. Easy to create and export graphs. Being able to quickly and easily visualise (and share) data is more useful than I could have imagined. All the "academic" data online is suddenly easy to use. I haven't even scratched the surface of community created packages, but they're easy to install, not always so easy to use. Cons You can get unhelpful syntax error messages. The basics work well but sometimes just changing something (eg colours) in specialised plots feels like a hard programming puzzle. It's mostly straight-forward like "plot(data)", but the commands are written in a programming language and get tricky depending on your needs.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Supported In Person Supported
Company Information Posit Founded: 2009 United States posit.co	Company Information SAS United States www.sas.com/en_us/software/visual-statistics.html
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Categories Big Data Supported Data Science Supported IDE Supported Machine Learning Supported Package Managers Supported Source Code Management Supported Statistical Analysis Supported	Categories Data Science Supported Statistical Analysis Supported

Integrations Amazon Web Services (AWS) Not Supported Coginiti Supported Google Cloud Platform Not Supported Jupyter Notebook Supported Microsoft Azure Not Supported Positron Supported Python Supported R Supported RStudio Supported Red Hat OpenShift Not Supported SAS Analytics for IoT Not Supported SAS Data Science Programming Not Supported SAS Visual Data Science Not Supported SAS Visual Data Science Decisioning Not Supported SAS Visual Machine Learning Not Supported SAS Viya Not Supported Snowflake Cortex AI Supported Visual Studio Code Supported Show More Integrations View All 8 Integrations	Integrations Amazon Web Services (AWS) Supported Coginiti Not Supported Google Cloud Platform Supported Jupyter Notebook Not Supported Microsoft Azure Supported Positron Not Supported Python Not Supported R Not Supported RStudio Not Supported Red Hat OpenShift Supported SAS Analytics for IoT Supported SAS Data Science Programming Supported SAS Visual Data Science Supported SAS Visual Data Science Decisioning Supported SAS Visual Machine Learning Supported SAS Viya Supported Snowflake Cortex AI Not Supported Visual Studio Code Not Supported Show More Integrations View All 10 Integrations
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