Minh Nguyễn f85f4f4105 [ios] Streamlined resource bundling
Added a target that produces Mapbox.bundle.

Replaced $BUNDLE_RESOURCES and $PLACE_RESOURCE_BUNDLES_OUTSIDE_FRAMEWORK with a single variable, $SELF_CONTAINED, that determines whether the output static framework is self-contained – that is, whether it contains Mapbox.bundle, Settings.bundle, and LICENSE.md. Eliminated the ability to produce a static framework that has the same layout as a dynamic framework. Now, resources are always in Mapbox.bundle; self-containment only determines where that bundle resides.

Added a separate source Info.plist to be placed in both the static framework and its resource bundle, but only after we give the build system a chance to expand variables within it. Now nearly all the Info.plist keys are filled in by the build system rather than using plutil in package.sh.
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Mapbox GL Native

A library for embedding interactive, customizable vector maps into native applications on multiple platforms. It takes stylesheets that conform to the Mapbox GL Style Specification, applies them to vector tiles that conform to the Mapbox Vector Tile Specification, and renders them using OpenGL. Mapbox GL JS is the WebGL-based counterpart, designed for use on the Web.

The Mapbox GL ecosystem

This repository hosts the cross-platform Mapbox GL Native library, plus convenient SDKs for several platforms. The cross-platform library comes with a GLFW-based demo application for Ubuntu Linux and OS X. The SDKs target the usual languages on their respective platforms:

SDK Languages Build status
Mapbox GL Native C++14 Travis Coverage Status
Mapbox Android SDK Java Bitrise
Mapbox iOS SDK Objective-C or Swift Bitrise
Mapbox OS X SDK Objective-C or Swift Bitrise
node-mapbox-gl-native Node.js Linux / OS X
Mapbox GL Qt C++03 Travis

Additional Mapbox GL Native–based libraries are developed outside of this repository:

If your platform or hybrid application framework isn’t listed here, consider embedding Mapbox GL JS using the standard Web capabilities on your platform.

Description
No description provided
Readme 702 MiB
Languages
C++ 54%
Kotlin 11.8%
Java 11%
Objective-C++ 9.7%
Objective-C 5.8%
Other 7.5%