Ubidots offers a complete set of widgets to plot data as you need, ranging from basic options that only display numerical values all the way to more advanced options that aim at covering the needs of industrial processes. Available to all Industrial and Enterprise users, the advanced widgets are designed to solve complex requirements by offering richer visualizations and higher degrees of customization.

Ubidots SCADA aims to bring you the best of both worlds: the modern and rapidly advancing web technologies for analytics, visualization, user interfaces, and data storage, with the traditional SCADA designs industrial users are already accustomed to.

Monitoring triggered events is essential to maintain operational efficiency. Ubidots' Incidents widget allows you to keep a detailed record of each incident, including trigger time, triggering value, and resolution status.

The Heatmap Table is a two-dimensional graphical representation of data in which values are displayed or represented by colors. When having a large volume of data, it is important to visualize and focus on the most relevant values according to your needs. The Heatmap table Widget allows you to simplify complex data into visualizations that can be easily understood and identified.

Ubidots Runtime widget allows you to effortlessly monitor how long your devices have been active within a specified timeframe. With this widget, you can visualize device activity, identify trends, and make data-driven decisions.

The Custom UI widget is a tool that allows you to graphically extend the way in which you can interact with Ubidots itself as well as with third-party services. It lets you put together a form widget consisting of your choice of attributes from among a list of options that, once ready, can be used as a webhook to imbue other data with the information you input in the Custom UI — or even use it to redirect to another Ubidots dashboard or an external link.

The Frequency widget allows you to plot data stored in the context of a variable's data points. Imagine an ECG application measuring heart rate at 60 Hz. This would require sending 60 dots per second, which is well-above our API rate limit. Instead, you can store those samples inside the context of a variable, and then use the frequency widget to visualize the data.