Web Apps as a Front-End

Transform your Streamlit, Shiny, Flask, Dash or Django applications into fully functional web apps with a single Git push. Develop locally, then deploy seamlessly to create interactive dashboards and analytics tools that anyone authorized in your organization can access. No complex infrastructure management. Just write code, push, and deploy!

Complex Workflows with Intuitive GUIs

Automate manual, error-prone processes by designing intuitive user interfaces that streamline model execution and workflows. Ensure every model runs on the most up-to-date code base while providing business users with easy-to-use tools for interaction. Reduce dependency on technical teams while maintaining control and accuracy.

Excel as a Front-End

Let users interact with your models directly from Excel, while keeping your code centralized and secure. Expose your Python, R, or Julia models as API endpoints, allowing Excel users to make requests and receive real-time responses — all without breaking their familiar workflow. No more copy-pasting data, instead enjoy seamless integration.

Automated API Endpoint Generation

Deploy Python, R, or Julia modules and packages as fully functional APIs automatically. No need to write boilerplate code! Simply push your model to Git, and ownR will generate an API endpoint automatically within seconds. Allow (mobile) applications, dashboards, or even Excel users to interact with your models in real-time, without the complexity of manual API development, deployment and hosting.

Separate Data and Formulas

Improve performance and maintainability by separating raw data (XLSX, SQL, etc.) from computational logic (Python, R, Julia). This approach allows your models to scale independently, ensures data consistency, and provides greater flexibility in updating analytical solutions without disrupting operations.

Separate Front-End and Back-End

Enhance scalability, security, and maintainability by decoupling front-end applications from backend analytical processes. Build web apps, dashboards, or Excel integrations that communicate with backend models via APIs. This ensures faster iteration, better control, and greater flexibility over how analytics is delivered.

Static Reports with Fixed URL

Eliminate the chaos of emailed PDFs by publishing rendered notebooks as fixed, versioned reports. Share findings with a simple URL while maintaining user authentication and access control. Ensure reports remain up to date, accurate, and easily accessible, without the hassle of re-sending static files.

Interactive Reports

Make scenario analysis and model outputs interactive by transforming Jupyter Notebooks into dynamic, user-friendly reports. Enable users to tweak parameters, visualize real-time changes, and explore different scenarios without requiring coding expertise. A perfect way to bridge the gap between technical teams and decision-makers.

Git-Driven Deployment

Deploy APIs, web applications, and reports with a simple Git push. Every deployment is automatically versioned, ensuring full reproducibility, rollback capabilities, and better collaboration across teams. No manual intervention required—just push your changes and let the platform handle the rest.

Launch Older Versions of Your App

Need to revisit an older version of your analytics model or application? Every previously deployed version remains accessible and can be launched with a single click. Whether for compliance, debugging, or analysis, you’ll always have full transparency and control over your application history.

Containerized Applications

Every deployed application runs in an isolated, containerized environment, ensuring stability, security, and efficient resource management. Scale effortlessly, prevent dependency conflicts, and guarantee that your applications run exactly as intended, every time.