Search Results for "google maps api"
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Showing 6 open source projects for "google maps api"
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Simplify Purchasing For Your BusinessSimplify every aspect of buying for your business in Order.co. From sourcing products to scaling purchasing across locations to automating your AP and approvals workstreams, Order.co is the platform of choice for growing businesses.
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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API-MS-WIN_XP
Windows XP/7 extended library open source
Use with Google Chrome WIndows 7 crack -
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Lullaby
A collection of C++ libraries designed to help teams
...Lullaby’s design promotes rapid iteration and cross-platform deployment, offering support for Android, iOS, Linux, and Windows. It integrates seamlessly with existing Android applications through a Java-based API and supports popular VR platforms such as Google Cardboard and Daydream. Originally used across multiple Google VR products, Lullaby serves as a foundation for building interactive worlds, responsive UIs, and dynamic simulations within immersive environments. -
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This is a component for the Heimdall sensor fusion middleware. It uses a (latitude, longitude) pair of coordinates and returns the civic address using the Google Maps service.
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The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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MapReduce is a simple and flexible parallel programming model initially proposed by Google for large scale data processing in a distributed computing environment. This project implements the MapReduce runtime and API for the Cell processor platform.
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The Solaris-compatible Thread Library (STL) enables applications that use the Solaris threads API (thr_create(), mutex_lock(), etc.) to be ported to other systems that have a POSIX threads library. STL maps between Solaris types and POSIX types, and adds
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