
react-native-airship
Airship React Native module
Stars: 86

React Native Airship is a module designed to integrate Airship's iOS and Android SDKs into React Native applications. It provides developers with the necessary tools to incorporate Airship's push notification services seamlessly. The module offers a simple and efficient way to leverage Airship's features within React Native projects, enhancing user engagement and retention through targeted notifications.
README:
A React Native module for Airship's iOS and Android SDK.
Please visit https://support.airship.com/ for any issues integrating or using this module.
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for react-native-airship
Similar Open Source Tools

react-native-airship
React Native Airship is a module designed to integrate Airship's iOS and Android SDKs into React Native applications. It provides developers with the necessary tools to incorporate Airship's push notification services seamlessly. The module offers a simple and efficient way to leverage Airship's features within React Native projects, enhancing user engagement and retention through targeted notifications.

sdk
The SDK repository contains a software development kit that provides tools, libraries, and documentation for developers to build applications for a specific platform or framework. It includes code samples, APIs, and other resources to streamline the development process and enhance the functionality of the applications. Developers can use the SDK to access platform-specific features, integrate with external services, and optimize performance. The repository is regularly updated to ensure compatibility with the latest platform updates and industry standards, making it a valuable resource for developers looking to create high-quality applications efficiently.

airconsole-api
The AirConsole Javascript API provides documentation and guides for developers to create projects that can be run on the AirConsole platform. The API allows developers to integrate features and functionalities specific to AirConsole, enabling them to build interactive and engaging games and applications for the platform. Developers can refer to the provided documentation and example projects to understand how to utilize the API effectively and create their own projects for AirConsole.

EngAce
EngAce is a cutting-edge, generative AI-powered application revolutionizing Vietnamese English learning. It offers personalized learning experiences combining AI with comprehensive features. The repository contains source code, documentation, and resources for the app.

SamsungAutomationStudio
Samsung Automation Studio is a development tool that provides an environment for easily configuring application logic by connecting Samsung and 3rd party services. The project shares Node-RED nodes developed by Samsung Automation Studio team, enabling users to install and use Samsung's IoT and AI-related services seamlessly. The tool enhances user experience by integrating with their own services.

coze-studio
Coze Studio is an all-in-one AI agent development tool that offers the most convenient AI agent development environment, from development to deployment. It provides core technologies for AI agent development, complete app templates, and build frameworks. Coze Studio aims to simplify creating, debugging, and deploying AI agents through visual design and build tools, enabling powerful AI app development and customized business logic. The tool is developed using Golang for the backend, React + TypeScript for the frontend, and follows microservices architecture based on domain-driven design principles.

ai-accelerator
The AI Accelerator project source code is designed to initialize an OpenShift cluster with a recommended set of operators and components for training, deploying, serving, and monitoring Machine Learning models. It provides core OpenShift features for Data Science environments and can be customized for specific scenarios. The project automates IT infrastructure using GitOps practices, including Git, code review, and CI/CD. ArgoCD Application objects are used to manage the installation of operators on the cluster.

bytechef
ByteChef is an open-source, low-code, extendable API integration and workflow automation platform. It provides an intuitive UI Workflow Editor, event-driven & scheduled workflows, multiple flow controls, built-in code editor supporting Java, JavaScript, Python, and Ruby, rich component ecosystem, extendable with custom connectors, AI-ready with built-in AI components, developer-ready to expose workflows as APIs, version control friendly, self-hosted, scalable, and resilient. It allows users to build and visualize workflows, automate tasks across SaaS apps, internal APIs, and databases, and handle millions of workflows with high availability and fault tolerance.

twinny
Twinny is a free and private AI extension for Visual Studio Code that offers AI-based code completion and code discussion features. It provides real-time code suggestions, function explanations, test generation, refactoring requests, and more. Twinny operates both online and offline, supports customizable API endpoints, conforms to OpenAI API standards, and offers various customization options for prompt templates, API providers, model names, and more. It is compatible with multiple APIs and allows users to accept code solutions directly in the editor, create new documents from code blocks, and copy generated code solution blocks. Twinny is open-source under the MIT license and welcomes contributions from the community.

APIPark
APIPark is an open-source AI Gateway and Developer Portal that enables users to easily manage, integrate, and deploy AI and API services. It provides robust API management features, including creation, monitoring, and access control, to help developers efficiently and securely develop and manage their APIs. The platform aims to solve challenges such as connecting to powerful AI models, managing complex AI & API call relationships, overseeing API creation and security, simplifying fault detection and troubleshooting, and enhancing the visibility and valuation of data assets.

GenAI-Showcase
The Generative AI Use Cases Repository showcases a wide range of applications in generative AI, including Retrieval-Augmented Generation (RAG), AI Agents, and industry-specific use cases. It provides practical notebooks and guidance on utilizing frameworks such as LlamaIndex and LangChain, and demonstrates how to integrate models from leading AI research companies like Anthropic and OpenAI.

kai
Kai is an AI-enabled tool that simplifies the process of modernizing application source code to a new platform. It uses Large Language Models (LLMs) guided by static code analysis, along with data from Konveyor. This data provides insights into how the organization solved similar problems in the past, helping streamline and automate the code modernization process. Kai assists developers by providing suggestions and solutions to common problems through Retrieval Augmented Generation (RAG), working with LLMs using Konveyor analysis reports about the codebase and generating solutions based on previously solved examples.

crewAI-examples
crewAI-examples is a collection of examples showcasing the usage of crewAI framework for automating processes in role-playing AI agent collaboration. It includes basic and advanced examples such as marketing strategy, surprise trip, match to proposal, find job candidates demo, create job posting, trip planner, create Instagram post, markdown validator, game generator, using Azure OpenAI API, stock analysis, landing page generator, and CrewAI + LangGraph integration.

Nothotdog
NotHotDog is an open-source testing framework for evaluating and validating voice and text-based AI agents. It offers a user-friendly interface for creating, managing, and executing tests against AI models. The framework supports WebSocket and REST API, test case management, automated evaluation of responses, and provides a seamless experience for test creation and execution.

llama-github
Llama-github is a powerful tool that helps retrieve relevant code snippets, issues, and repository information from GitHub based on queries. It empowers AI agents and developers to solve coding tasks efficiently. With features like intelligent GitHub retrieval, repository pool caching, LLM-powered question analysis, and comprehensive context generation, llama-github excels at providing valuable knowledge context for development needs. It supports asynchronous processing, flexible LLM integration, robust authentication options, and logging/error handling for smooth operations and troubleshooting. The vision is to seamlessly integrate with GitHub for AI-driven development solutions, while the roadmap focuses on empowering LLMs to automatically resolve complex coding tasks.

awesome-vibe-coding
Awesome Vibe Coding is a curated list of references for vibe coding, which involves collaborating with AI to write code. It includes browser-based tools, IDEs, code editors, desktop apps, plugins, command line tools, and documentation for AI coding. The concept of vibe coding is about fully embracing the vibes, exponentials, and forgetting that the code even exists while building projects or web apps. The repository provides a collection of tools and resources to facilitate the process of coding with a focus on creativity and efficiency.
For similar tasks

react-native-airship
React Native Airship is a module designed to integrate Airship's iOS and Android SDKs into React Native applications. It provides developers with the necessary tools to incorporate Airship's push notification services seamlessly. The module offers a simple and efficient way to leverage Airship's features within React Native projects, enhancing user engagement and retention through targeted notifications.

openagents
OpenAgents is a platform for AI agents using open protocols. The current flagship product (v4) is an agentic chat app live at openagents.com. This repository holds the new cross-platform version (v5), with an initial focus on Coder, a desktop app intended to replace Claude Code with standard chat UI & thread history and first-class MCP integration. The v5 tech stack includes React, React Native, TypeScript for frontend, Cloudflare stack for backend, better-auth for authentication, and Vercel AI SDK. The architecture considerations aim for cross-platform code reuse, open protocol interoperability, long-running agent processes, composability, proportional payment to contributors, and agent wallets for Bitcoin/Lightning & stablecoins via Spark wallet.

airsync-android
Android app for AirSync 2.0 built with Kotlin Jetpack Compose. Users can connect using a QR code scan and save the last device for easier re-connection. The app is developed with gratitude to the community, AI research for assistance, and various contributors. It aims to provide a seamless experience for users to manage notifications efficiently.

Construction-Hazard-Detection
Construction-Hazard-Detection is an AI-driven tool focused on improving safety at construction sites by utilizing the YOLOv8 model for object detection. The system identifies potential hazards like overhead heavy loads and steel pipes, providing real-time analysis and warnings. Users can configure the system via a YAML file and run it using Docker. The primary dataset used for training is the Construction Site Safety Image Dataset enriched with additional annotations. The system logs are accessible within the Docker container for debugging, and notifications are sent through the LINE messaging API when hazards are detected.

agentic
Agentic is a standard AI functions/tools library optimized for TypeScript and LLM-based apps, compatible with major AI SDKs. It offers a set of thoroughly tested AI functions that can be used with favorite AI SDKs without writing glue code. The library includes various clients for services like Bing web search, calculator, Clearbit data resolution, Dexa podcast questions, and more. It also provides compound tools like SearchAndCrawl and supports multiple AI SDKs such as OpenAI, Vercel AI SDK, LangChain, LlamaIndex, Firebase Genkit, and Dexa Dexter. The goal is to create minimal clients with strongly-typed TypeScript DX, composable AIFunctions via AIFunctionSet, and compatibility with major TS AI SDKs.

aioapns
aioapns is a Python library designed for sending push-notifications to iOS devices via Apple Push Notification Service. It provides an efficient client through asynchronous HTTP2 protocol for use with Python's asyncio framework. With features like internal connection pool, support for different types of connections, setting TTL and priority for notifications, and more, aioapns is a versatile tool for developers looking to send push notifications to iOS devices.

TagUI
TagUI is an open-source RPA tool that allows users to automate repetitive tasks on their computer, including tasks on websites, desktop apps, and the command line. It supports multiple languages and offers features like interacting with identifiers, automating data collection, moving data between TagUI and Excel, and sending Telegram notifications. Users can create RPA robots using MS Office Plug-ins or text editors, run TagUI on the cloud, and integrate with other RPA tools. TagUI prioritizes enterprise security by running on users' computers and not storing data. It offers detailed logs, enterprise installation guides, and support for centralised reporting.

trendFinder
Trend Finder is a tool designed to help users stay updated on trending topics on social media by collecting and analyzing posts from key influencers. It sends Slack notifications when new trends or product launches are detected, saving time, keeping users informed, and enabling quick responses to emerging opportunities. The tool features AI-powered trend analysis, social media and website monitoring, instant Slack notifications, and scheduled monitoring using cron jobs. Built with Node.js and Express.js, Trend Finder integrates with Together AI, Twitter/X API, Firecrawl, and Slack Webhooks for notifications.
For similar jobs

react-native-vision-camera
VisionCamera is a powerful, high-performance Camera library for React Native. It features Photo and Video capture, QR/Barcode scanner, Customizable devices and multi-cameras ("fish-eye" zoom), Customizable resolutions and aspect-ratios (4k/8k images), Customizable FPS (30..240 FPS), Frame Processors (JS worklets to run facial recognition, AI object detection, realtime video chats, ...), Smooth zooming (Reanimated), Fast pause and resume, HDR & Night modes, Custom C++/GPU accelerated video pipeline (OpenGL).

iris_android
This repository contains an offline Android chat application based on llama.cpp example. Users can install, download models, and run the app completely offline and privately. To use the app, users need to go to the releases page, download and install the app. Building the app requires downloading Android Studio, cloning the repository, and importing it into Android Studio. The app can be run offline by following specific steps such as enabling developer options, wireless debugging, and downloading the stable LM model. The project is maintained by Nerve Sparks and contributions are welcome through creating feature branches and pull requests.

aiolauncher_scripts
AIO Launcher Scripts is a collection of Lua scripts that can be used with AIO Launcher to enhance its functionality. These scripts can be used to create widget scripts, search scripts, and side menu scripts. They provide various functions such as displaying text, buttons, progress bars, charts, and interacting with app widgets. The scripts can be used to customize the appearance and behavior of the launcher, add new features, and interact with external services.

gemini-android
Gemini Android is a repository showcasing Google's Generative AI on Android using Stream Chat SDK for Compose. It demonstrates the Gemini API for Android, implements UI elements with Jetpack Compose, utilizes Android architecture components like Hilt and AppStartup, performs background tasks with Kotlin Coroutines, and integrates chat systems with Stream Chat Compose SDK for real-time event handling. The project also provides technical content, instructions on building the project, tech stack details, architecture overview, modularization strategies, and a contribution guideline. It follows Google's official architecture guidance and offers a real-world example of app architecture implementation.

blinkid-android
The BlinkID Android SDK is a comprehensive solution for implementing secure document scanning and extraction. It offers powerful capabilities for extracting data from a wide range of identification documents. The SDK provides features for integrating document scanning into Android apps, including camera requirements, SDK resource pre-bundling, customizing the UX, changing default strings and localization, troubleshooting integration difficulties, and using the SDK through various methods. It also offers options for completely custom UX with low-level API integration. The SDK size is optimized for different processor architectures, and API documentation is available for reference. For any questions or support, users can contact the Microblink team at help.microblink.com.

react-native-airship
React Native Airship is a module designed to integrate Airship's iOS and Android SDKs into React Native applications. It provides developers with the necessary tools to incorporate Airship's push notification services seamlessly. The module offers a simple and efficient way to leverage Airship's features within React Native projects, enhancing user engagement and retention through targeted notifications.

gpt_mobile
GPT Mobile is a chat assistant for Android that allows users to chat with multiple models at once. It supports various platforms such as OpenAI GPT, Anthropic Claude, and Google Gemini. Users can customize temperature, top p (Nucleus sampling), and system prompt. The app features local chat history, Material You style UI, dark mode support, and per app language setting for Android 13+. It is built using 100% Kotlin, Jetpack Compose, and follows a modern app architecture for Android developers.

Native-LLM-for-Android
This repository provides a demonstration of running a native Large Language Model (LLM) on Android devices. It supports various models such as Qwen2.5-Instruct, MiniCPM-DPO/SFT, Yuan2.0, Gemma2-it, StableLM2-Chat/Zephyr, and Phi3.5-mini-instruct. The demo models are optimized for extreme execution speed after being converted from HuggingFace or ModelScope. Users can download the demo models from the provided drive link, place them in the assets folder, and follow specific instructions for decompression and model export. The repository also includes information on quantization methods and performance benchmarks for different models on various devices.