Electrical Engineer Ii at a healthcare company with 10,001+ employees
Real User
Top 20
Feb 19, 2026
My main use of Posit is to deploy Python Flask applications for internal use of tools within our company. I deployed a search query and engine that scientists can use to access a database, query results of research literature that is out there, and run an AI model on these results to help them create better systematic reviews.
I use Posit for both Posit Connect and Posit Workbench. The Workbench is used for development, as there are many packages not supported by RStudio because I didn't have RStudio Pro. Posit Connect is used to host applications, such as the R application and R Shiny application, connecting to Azure SQL and database instances.
Our primary use case for Posit involves end-to-end data processing. We start by pulling data from various sources like CSV, Excel, Snowflake, and Databricks. We clean the data, analyze it, and visualize it using tools like ggplot, Shiny dashboards, or R markdown documents. We also use Posit for building models and sharing findings for better insight within the team.
We use Posit to deploy applications developed in R and Python. Our team creates applications and models, which they then host on GitHub. We assist them in deploying these models and provide the necessary access and support.
Posit offers data analysis and visualization tools designed to enhance decision-making through actionable insights. It supports diverse programming environments and integrates seamlessly, facilitating efficient data processes for teams in analytics-driven sectors.Posit elevates analytical operations by providing powerful tools for data management and visualization. Its adaptive nature enables integration with several programming languages, catering to the needs of data professionals seeking...
My main use of Posit is to deploy Python Flask applications for internal use of tools within our company. I deployed a search query and engine that scientists can use to access a database, query results of research literature that is out there, and run an AI model on these results to help them create better systematic reviews.
I use Posit for both Posit Connect and Posit Workbench. The Workbench is used for development, as there are many packages not supported by RStudio because I didn't have RStudio Pro. Posit Connect is used to host applications, such as the R application and R Shiny application, connecting to Azure SQL and database instances.
Our primary use case for Posit involves end-to-end data processing. We start by pulling data from various sources like CSV, Excel, Snowflake, and Databricks. We clean the data, analyze it, and visualize it using tools like ggplot, Shiny dashboards, or R markdown documents. We also use Posit for building models and sharing findings for better insight within the team.
We use Posit to deploy applications developed in R and Python. Our team creates applications and models, which they then host on GitHub. We assist them in deploying these models and provide the necessary access and support.