Scientia Mobile has released two new modules for its WURFL InFuze device detection solution that provide support for the Node.js and Python development platforms. Built upon WURFL InFuze’s high-performance C++ API, these modules return accurate device descriptions and capabilities that can be used with applications which need to handle a mobile dimension. Content services can deliver a web experience that is optimized to a user’s specific device. Data analysis applications can include analysis of mobile traffic to existing reporting tools.
WURFL InFuze for Python is a flexible programming library that ties into WURFL InFuze’s C API. WURFL InFuze for Python provides tools so developers can easily integrate high-performance device detection into their Python code base. In addition to providing access to the WURFL Device Description Repository, WURFL InFuze for Python includes command line utilities suitable for optimization and analytics use cases.
“ScientiaMobile has always paid particular attention to new and cool developer platforms,” said Luca Passani, co-founder and CTO. “Interest in both Python and Node.js platforms has grown significantly over the past few years in their respective domains. We have made it easy for developers to implement WURFL InFuze and use device detection for optimization and analytics in their applications.”
ScientiaMobile provides the industry’s most accurate and flexible device detection solution, helping customers deliver great web experiences and manage the increasingly fragmented mobile device ecosystem. ScientiaMobile sells WURFL, a constantly-updated repository that catalogues thousands of devices and their capabilities and provides access to them via range of API languages. The WURFL framework enables many organizations, including Fortune 500 companies, to effectively design and analyze web experiences for an ever-growing range of smartphones, tablets, smart TVs and game consoles.
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