Search Results for "google maps api"
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Showing 6 open source projects for "google maps api"
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Automate contact and company data extractionGenerate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
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Axe Credit Portal - ACP- is axefinance’s future-proof AI-driven solution to digitalize the loan process from KYC to servicing, available as a locally hosted or cloud-based software.Founded in 2004, axefinance is a global market-leading software provider focused on credit risk automation for lenders looking to provide an efficient, competitive, and seamless omnichannel financing journey for all client segments (FI, Retail, Commercial, and Corporate.)
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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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Leverage AI to Automate Medical CodingAs a healthcare provider, you should be paid promptly for the services you provide to patients. Slow, inefficient, and error-prone manual coding keeps you from the financial peace you deserve. XpertDox’s autonomous coding solution accelerates the revenue cycle so you can focus on providing great healthcare.
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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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