
Plotly
July 26, 2024
Plotly Ships: Summer Release 2024
The latest summer release of Plotly Dash Enterprise transforms data app creation and delivery. Discover the new collaboration features, customization options, and enhanced control in the 5.4 update.
tl;dr
This summer release of Plotly Dash Enterprise makes it a breeze to create and deliver data apps for everyone by improving the ability to collaborate more freely, customize more easily, and provide the control in the areas you need. For administrators, this release eases the management of your multiple shared Dash apps by introducing global variables and horizontal application scaling.

Transform static Jupyter Notebooks and scripts into beautiful data applications.
Control more easily
You know Dash applications provide end-users the parameterized controls they need in data apps, but in production data applications you also need creator-level and infrastructure-level controls.Â
Plotly Dash Enterprise provides data scientists, domain experts, and data teams the simplest and fastest way to add control and customizability to sophisticated data applications in the enterprise. The latest release adds Global Environment Variables to the mix, extending the control and easing the configuration to fit your custom environment.
Global Environment Variables
This feature saves admins time by allowing them to set a value that is available across all apps in their Dash Enterprise instance. Centrally create and manage data values across all of your data apps.
There are several realistic use cases for the Global Environment Variables feature: sharing an API key, providing access to a database or file storage, and referencing a CSS stylesheet or logo URL.
In summary, this feature reduces management burden on admins and improves security by bypassing the need to distribute keys to individual users. All in all, Global Environment Variables will drastically increase the time to deployment while easing collaboration across multiple apps by multiple users.

Global Environment Variables to drastically increase the time to deploy a data app.
Horizontal pod autoscaling
Horizontal pod autoscaling brings greater stability across more users by dynamically adjusting cluster size based on demand fluctuations. This feature helps control costs by scaling down when activity decreases, ensuring efficient resource usage. Ultimately, it enhances user experience and optimizes operational efficiency for your data apps.
To see these new controls in action, watch the demo from the summer launch event.
From Prototypes to Production
Data apps are great in that you can create a quick app in minutes with only a few lines of Python code. But, production data applications demand more to cover the last mile of whatâs needed, like enterprise security integration, app lifecycle management, and scalability. With this latest release, weâve lowered the barriers so data teams can create and deploy data apps for everyone. Now is a great time to try Plotly Dash Enterprise. Watch the on-demand launch event recording to learn more.