Search Results for "android ide"
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Showing 4 open source projects for "android ide"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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RIBs
Uber's cross-platform mobile architecture framework
...This makes RIB classes easy to test and reason about independently. Tooling for developer productivity. RIBs come with IDE tooling around code generation, memory leak detection, static analysis and runtime integrations. -
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Codename One
Cross-platform framework for building truly native mobile apps
An open-source mobile-first toolkit for building high-quality, cross-platform native apps for Android, iOS, Desktop & Web. Rapid cross-platform app development using Java or Kotlin with 100% code reuse. Apps are compiled down to native code for maximum performance and a smooth user experience. Write, debug, and test apps all inside your IDE (IntelliJ, Eclipse, VSCode or NetBeans) using the Codename One simulator. One-click for app-store-ready device builds, without the headache of maintaining native SDKs. ... -
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ARouter
Framework for assisting in the renovation of Android componentization
Supports direct parsing of standard URLs for jumps and automatic injection of parameters into target pages. Support for multi-module. Support for interceptor. Support for dependency injection. InstantRun support. MultiDex support. Mappings are grouped by group, multi-level management, on-demand initialization. Supports users to specify global demotion and local demotion strategies. Activity, interceptor and service can be automatically registered to the framework. Support multiple ways to... -
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Magic Lantern
Build Cross-platform Applications
Magic Lantern is a framework for developing multimedia applications. It is designed to be a cross-platform solution for multiple targets such as desktops, game consoles, mobile devices and set-top boxes. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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