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The new release of Active-Framework is out and official and we're so impatient to share them with you. We've been working hard those past few months based on your feedback to improve charts. We bring a lot of new features on this release with personnalisation, better usability, better exports... We introduce a new mechanism called "propagation" to easily fill-in the Niagara Network to share data between stations. We pushed the connector Framework to higher limits to let you personalize the payloads from a simple model. And finally but not least we introduce a whole new range of blocks to manipulate data tables.

Let's deep dive into the new features!


A new chart experience

Charts are very essential but can be handy to parameter for an end user because it implies a lot of considerations for an end user to take into account. This is why we firstly introduced an automatic configuration based on tags so the end user wouldn't need to bother with any of it => The charts displays with the corrected parameters on the first click. The downside to it is the mandatory tagging to get it well. So we introduced a configuration popup to personalize each chart: the color, the type of chart, the aggregation, the delta. You can now start from scratch without any worry on the tagging.



A massive feature request was the availability to split charts on the top of each other to improve the readiness of similar data. We did it! You can even use the configuration popup to activate the option whenever you need it. A single cursor allows you to explore the different charts on a single timestamp.


We introduce a new way of selecting historical data for a chart: using successive drop-downs based on tags.You can select multiple values and create dependencies between drop-downs. It combines very well with a HistoryListSelection


A HeatMap is now available to analyze values magnitude of a Niagara history over a period. You can personalize the plot bands (the set of colors) and can decide to aggregate the data over a day or over a weekday. You can even restrict to a particular period of the day.



Improve real-time data

Real-time data needs to be better visualized 








Propagation




Connectors payload personnalisation



Data History Table personnalisation


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