The Complete Data App Solution

Easily build, deploy, and host data apps in Displayr.

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TRUSTED BY THOUSANDS OF CUSTOMERS

Deliver high-performing data apps without multiple tools, specialist teams, or knowing code

Displayr Illustration of All in one data app

Smart, all-in-one data app platform

No more juggling separate tools, now you can analyze, build, customize, and host your entire data app from start to finish, all in one place.

Connect any type of data, do any type of analysis, and make your report, dashboard, or data app look exactly as it should. The options are limitless. Work fast, error free, and collaboratively in a secure AI-powered platform.

Flexible for everyone: no-code, low-code, or full-code

Whether you love a drag-and-drop solution, prefer a bit of low-code tinkering, or want to dive deep with full R integration, Displayr has you covered. It’s made for data scientists, market researchers, engineers, and business professionals. Build powerful, customized data apps—your way.

Displayr - a flexible data app
Displayr - Build faster with ready-made components

Build faster with ready-made components

Get up and running quickly with Displayr’s library of pre-built visualizations, widgets, and components. Use ready-made sliders, filters, dropdowns, buttons, and tabs to easily build interactive apps. With hundreds of visualizations and reusable templates, you can speed up development and turn data into insights faster than ever.

Easy deployment and secure access

Easily publish and share your data apps, accessible from any device with a web browser. Secure data handling with user authentication and permissions to protect sensitive information within your apps.

Displayr - easy deployment
Displayr takes the heavy lifting out of building data apps. I can do everything from connect my data to publish the app, all in the one platform.
Stephen D
Insights
Professional

Build better apps faster

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All types of data

SQL, databases, Excel, CSV, text, SPSS, survey platforms, APIs, integrations, more.

Illustration for displayr all types of analysis

All types of analysis

Summary tables, crosstabs, pivot tables, regression, text analysis, segmentation, machine learning, more.

Illustration for displayr all types of reporting

All types of reporting

Data visualization, interactive data apps, dashboards, PowerPoint, Excel, PDF, more.

One complete platform to do it all

Intuitive drag-and-drop interface

Simple tasks are easy to accomplish with drag-and-drop and point-and-click.

Advanced coding options

Use code for more advanced work, including R, HTML, and CSS, making almost anything possible.

Real-time collaboration

Multiple concurrent users and a comment feature enable easy, real-time collaboration. Automatic version control - jump back to a previous state.

All-in-one build and host solution

Perform data analysis, build, launch, and host in one secure tool, with fully automated launching and hosting.

Enterprise-grade security

Share apps publicly or with authenticated users, with out-of-the-box user administration and content customization based on viewer login.

Reactive dependency graph

Automatically detects code that needs re-running and highlights errors, with a dependency graph to identify errors and bottlenecks.

Extensive R package access

Access over 1,000 R packages for data analysis and visualization.

High-quality exports

Export to PDF, PowerPoint, Excel, image files, or as a web page, with beautiful, professional quality.

Case Study - DUNNHUMBY

Global Data Science Company

Displayr helps dunnhumby build data apps 5X faster

Challenges

  • Too many hours spent manually updating reports
  • High risk of error

Solutions

  • AI-powered analysis
  • All-in-one software

Results

  • 5X faster data analysis & charting
  • Dashboards created 75% faster

“It’s analysis, business intelligence, and data science made in one package. When I started exploring Displayr, I fell in love. I couldn’t go back.”
Wang Wang
Senior Research Analyst, dunnhumby

See why people love Displayr

Data Apps FAQs

What is a data app?
A data app is an application based on data that has a user interface designed to help the user draw conclusions about the data or automatically take action. Learn more about data apps.
Building a data app involves selecting your data format, ingesting the data, analyzing it, designing the user interface, hosting it online and then providing mechanisms for users to share their results. Displayr allows you to use just one tool for this entire process, unlike other data app builders.

Choosing the right data app builder will depend on your technical skills, the amount of time you have available and the complexity of the app you are trying to build. We have put together a guide to help you pick the right option.

No-code data app builders are powered by drag-and-drop functionalities, allowing users to build faster and without coding skills. Full-code in Displayr allows for deeper customizations using JavaScript, R Code and CSS.

Depends on how you sign up for a license. If it’s for yourself then you’d be on the hook for the bill, you technically own all the data and are just sharing a completed web app with them.

Alternatively you could have your client purchase Displayr and you have a license on their account to do all the work.

No.

There are over 1000 as of today. See here for a full list.

No, Displayr cannot host and run existing Shiny apps.

We have a fixed annual license fee for the app itself (i.e., editor licenses) There are 2 products you can purchase today depending on the type of data app you are building.

  • Data Stories
  • Displayr – for if you need to work with raw data and do advanced data analysis

To share your app with others there is an additional cost in the form of Server time for private dashboards and API which can be purchased in 1000 hour (p.a.) blocks. See here for details.

See our pricing page for the latest price in your local currency.

See our trust center.

No. Displayr documents can only be exported as Qpacks which is a file format native to Displayr.

You can use your app elsewhere via an embedded iframe.

  • GUI controls
  • R code
  • JavaScript (for widgets)
  • CSS
  • R  – for data prep, analysis, visualization
  • CSS – for customizing your published app
  • JavaScript – for creating variables, scripting, and controls for R-based analysis tools
  • Python is not support

We guarantee a 99.5% uptime excluding downtime for scheduled and emergency maintenance. See here.

No, we do this for you automatically as required.

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