ASReml vs. Posit Comparison


ASReml VSN International	Posit	+	+
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About ASReml-SA is powerful statistical software specially designed for mixed models using Residual Maximum Likelihood (REML) to estimate the parameters. Linear mixed-effects models provide a rich and flexible tool for the analysis of many data sets commonly arising in animal, plant and aqua breeding, agriculture, environmental sciences and medical sciences. Our latest release, ASReml-SA 4.2, has three times as much available memory as 4.1 and can therefore handle much larger analyses. Plus with parallel processing and the ability to allocate memory to certain tasks, we've also made it much faster: check out the comparison table below to see speed gains we've achieved for a selection of analyses. ASReml-SA 4.2 delivers impressive gains in processing speed. These gains depend upon a variety of factors including a microprocessor, machine power, dataset size and type of analysis run, among others, and they will vary between users.	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.
Platforms Supported Windows Supported Mac Not 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 Supported Linux Not Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Laboratories in need of a Statistical Analysis solution	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
Support Phone Support Not 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 Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Supported Free Trial Supported
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	Reviews/Ratings Overall 5.0 / 5 ease 4.0 / 5 features 5.0 / 5 design 5.0 / 5 Read all reviews
	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 Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Supported
Company Information VSN International Founded: 2000 United Kingdom www.vsni.co.uk	Company Information Posit Founded: 2009 United States posit.co
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Categories Statistical Analysis Supported	Categories Big Data Supported Data Science Supported IDE Supported Machine Learning Supported Package Managers Supported Source Code Management Supported Statistical Analysis Supported
Statistical Analysis Features Analytics Not Supported Association Discovery Supported Compliance Tracking Supported File Management Not Supported File Storage Supported Forecasting Not Supported Multivariate Analysis Not Supported Regression Analysis Not Supported Statistical Process Control Not Supported Statistical Simulation Supported Survival Analysis Not Supported Time Series Not Supported Visualization Not Supported
Integrations ActiveScale Supported Coginiti Not Supported Jupyter Notebook Not Supported Positron Not Supported Python Not Supported R Not Supported RStudio Not Supported Snowflake Cortex AI Not Supported Visual Studio Code Not Supported View All 1 Integration	Integrations ActiveScale Not Supported Coginiti Supported Jupyter Notebook Supported Positron Supported Python Supported R Supported RStudio Supported Snowflake Cortex AI Supported Visual Studio Code Supported View All 8 Integrations
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