Anaren IoT Releases Atmosphere 2.1 – Now Supports Beaglebone Black

Archived, News | August 2nd, 2017

Anaren IoT Group today announced the release of version 2.1 of its innovative Anaren Atmosphere™ online development platform. Atmosphere affords embedded, mobile and cloud developers an exceptionally fast way to create IoT applications with an easy-to-use IoT development environment. The new version of Atmosphere 2.1, now offers support for the BeagleBone Black Embedded Linux Development Kit, as well as a new cloud-only project type that allows users to build libraries for C#/.Net, C/C++, and Python to enable connections to their own embedded solutions in Atmosphere Cloud.

“Since the initial launch of Atmosphere late last year, we now have over 3,500 unique registered users creating and deploying a wide variety of IoT solutions into the market,” says Jeff Liebl, President of Anaren IoT Group. “The BeagleBone Black support should be of special interest to the large embedded Linux community of developers.”

As with version 2.0, users of Atmosphere 2.1 are able to simultaneously create and deploy corresponding hosted web applications. All design functions, including cloud visualization, use a drag-and-drop approach that does not require the need for command line coding – although code can be customized if desired.

Atmosphere 2.1 also provides access to a large and growing library of sensors and other IoT elements for easy application creation. Atmosphere’s unique approach immediately accelerates design cycles, lowers risk, while removing cost in the development process as no specialized knowledge in hardware embedded coding, mobile application creation or web development is needed. Atmosphere 2.1 can also host device and sensor data in its cloud-based environment and offers a highly customizable web-based user interface. The Atmosphere Cloud™ hosting option allows each user to host up to five devices at once – free of charge. The Atmosphere toolset is ideal for a variety of developers – from those who are simply looking to record single sensor data to those developing rich, complex device monitoring and control applications.