Web apps as front-end

Transforming your models into web applications should be simple, not a DevOps project. With ownR, you can take your Streamlit, Shiny, Flask, Dash, or Django apps and turn them into production-ready web tools with a single Git push.

Analysts and developers can move directly from local testing to interactive dashboards and analytical tools that are instantly accessible to authorized users across the organization. This reduces the barrier between prototypes and production and ensures your business can benefit from analytics immediately.

No complex infrastructure management. Just write code, push, and deploy!

Complex workflows with intuitive GUIs

Business processes are often slowed down by manual steps and fragile scripts. With ownR, you can replace these by intuitive user interfaces that guide users through even the most complex workflows. Every model is executed on the latest codebase, guaranteeing accuracy and consistency.

Meanwhile non-technical users can run advanced analyses through easy-to-use tools. The result is automation of manual, error-prone processes and less reliance on IT and Data Science teams for operational tasks.

Excel as a front-end

Excel remains the tool of choice for many business users, and ownR embraces that reality. By exposing models written in Python, R, or Julia as API endpoints, Excel users can interact with analytics directly, without changing their familiar workflow. This keeps code centralized and secure while giving end users real-time access to results inside the spreadsheets they use daily.

No more copy-pasting data across systems—just a seamless integration that brings advanced analytics to the tools your teams already trust.

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. This automation ensures your models are production-ready without hassle.

Separate data and formulas

Keeping data and computation tied together often leads to inefficiency and rigidity. ownR separates raw data sources such as XLSX, SQL, etc. from models written in Python, R, or Julia, ensuring each can evolve independently. This makes it easier to maintain data consistency, scale models without bottlenecks, and update analytics without disrupting production.

By decoupling the source data and the models, organizations gain greater flexibility, maintainability, and performance.

Decouple front-end and back-end

Enhance scalability, security, and maintainability by decoupling front-end applications from backend analytical processes.

With ownR, web apps, dashboards, and Excel interfaces can communicate with models via APIs, allowing you to scale, secure, and maintain applications independently from the analytics code. This results in faster iteration, better control, and greater flexibility, ensuring that analytics adapts as quickly as business needs evolve.

Static reports with fixed URL

Eliminate the chaos of emailed PDFs by publishing rendered notebooks as fixed, versioned reports accessible via secure URLs. With built-in authentication and access control, only the right people see the right information, ensuring accuracy and compliance.

Reports remain up to date, easy to share, and always accessible, removing the friction of traditional reporting.

Interactive reports

Static reports limit engagement, while interactive ones drive understanding. With ownR, Jupyter notebooks can be transformed into dynamic, user-friendly reports that let decision-makers test assumptions, change parameters, and see updated outputs instantly.

This bridges the gap between technical experts and business stakeholders, enabling data to inform decisions in real time and with greater impact. Let them explore different scenarios without requiring coding expertise!

Git-driven deployment

ownR makes deployment as simple as a git push. Every deployment is automatically versioned, ensuring full reproducibility, rollback capabilities, and better collaboration across teams, reducing operational risks.

No manual intervention required—just push your changes and let the platform handle the rest. Deployment becomes fast, reliable, and transparent, freeing teams to focus on building solutions rather than managing infrastructure.

Launch older versions of your app

Need to revisit an older version of your analytics model or application? Whether for compliance, debugging, or learning, access to history matters. With ownR, every deployed version remains accessible and can be relaunched instantly.

ownR makes sure you have full transparency, auditability, and control over application lifecycles, giving organizations the confidence that nothing is lost and every decision is traceable.

Containerized applications

Every deployment in ownR runs inside an isolated, containerized environment, ensuring that applications are stable, secure, and scalable. This eliminates dependency conflicts, improves resource efficiency, and guarantees that each application runs exactly as intended, every time.

For IT teams, this means fewer headaches and a foundation that is secure, stable, and built to scale.