Search Results for "google services framework"
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Showing 100 open source projects for "google services framework"
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Professional Services
Common solutions and tools developed by Google Cloud
Professional Services repository is a collection of real-world solutions, tools, and reference implementations developed by Google Cloud’s Professional Services team to address common enterprise challenges. Unlike simple sample repositories, it focuses on production-oriented use cases such as data pipelines, machine learning workflows, infrastructure automation, and security management. -
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Google Cloud Node.js Client
Google Cloud Client Library for Node.js
The Google Cloud Node.js Client is an official library that provides idiomatic Node.js interfaces for Google Cloud services, simplifying the integration of these services into Node.js applications. -
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Google CTF
Google CTF
Google CTF is the public repository that houses most of the challenges from Google’s Capture-the-Flag competitions since 2017 and the infrastructure used to run them. It’s a learning and practice archive: competitors and educators can replay tasks across categories like pwn, reversing, crypto, web, sandboxing, and forensics. The code and binaries intentionally contain vulnerabilities—by design—so users can explore exploit chains and patching in realistic settings. The repo also includes... -
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Google Cloud Platform Go Samples
Sample apps and code written for Google Cloud
Google Cloud Platform Go Samples repository is a comprehensive collection of Go-based code examples that demonstrate how to build applications and services using Google Cloud Platform. It provides developers with practical implementations that cover a wide spectrum of cloud functionalities, including storage, compute, networking, and machine learning services. -
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PHP Docs Samples
A collection of samples on how to call Google Cloud services
PHP Docs Samples repository is a broad collection of PHP examples that demonstrate how to call and work with Google Cloud services from PHP applications. It is designed as a companion to Google Cloud documentation, giving developers ready-to-run code patterns they can study, adapt, and integrate into their own projects. Rather than focusing on a single product, the repository spans many services and use cases, making it useful for developers who need a central reference point for PHP-based cloud integrations. ... -
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Google Cloud Platform Python Samples
Code samples used on cloud.google
Google Cloud Platform Python Samples repository is a large, curated collection of Python code examples that demonstrate how to use a wide range of Google Cloud services in real-world scenarios. It serves as a practical companion to official documentation, providing runnable snippets that illustrate how to authenticate, configure environments, and interact with APIs across products such as storage, AI services, and data processing tools. -
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Google Cloud Platform Node.js Samples
Node.js samples for Google Cloud Platform products
Google Cloud Platform Node.js Samples repository is a large set of Node.js code examples that demonstrate how to build, deploy, and manage applications using Google Cloud Platform services. It mirrors the structure and purpose of the Python and Go sample repositories, providing developers with practical implementations that complement official documentation. -
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Google Cloud Client Libraries for Go
Google Cloud Client Libraries for Go
The Cloud Client Libraries are the recommended way to access Google Cloud APIs programmatically. The Cloud Client Libraries support accessing Google Cloud services in a way that significantly reduces the boilerplate code you have to write. The libraries provide high-level API abstractions so they're easier to understand. They embrace idioms of the language, work well with the standard library, and integrate better with your codebase. -
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Google Kubernetes Engine (GKE) Samples
Sample applications for Google Kubernetes Engine (GKE)
Google Kubernetes Engine (GKE) Samples repository is a comprehensive collection of sample applications and reference implementations designed to demonstrate how to build, deploy, and manage workloads on Google Kubernetes Engine (GKE). It serves as a practical companion to official GKE tutorials, providing real, runnable code that illustrates how containerized applications are packaged, deployed, and scaled within Kubernetes clusters. The repository is organized into multiple categories such... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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AngularFire
The official Angular library for Firebase
AngularFire smooths over the rough edges an Angular developer might encounter when implementing the framework-agnostic Firebase JS SDK & aims to provide a more natural developer experience by conforming to Angular conventions. Provide and Inject Firebase services in your components. Stable zones allow proper functionality of service workers, forms, SSR, and pre-rendering. Utilize RxJS rather than callbacks for realtime streams. Integrate with NgRx using AngularFire's action based APIs. ... -
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LangChain.dart
Build LLM-powered Dart/Flutter applications
LangChain.dart is a Dart and Flutter implementation of the LangChain framework, designed to enable developers to build LLM-powered applications for mobile, web, and cross-platform environments. It provides a structured way to integrate language models into applications by offering abstractions for chains, agents, embeddings, and vector stores. The framework supports multiple providers and includes packages for integrating with services such as OpenAI, Google AI, and Firebase, allowing developers to build both local and cloud-based AI workflows. ... -
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Google API JavaScript Client
Google APIs Client Library for browser JavaScript, aka gapi
...Responses are returned as promise-based calls with typed parameters derived from service definitions, simplifying error handling and pagination. Because it runs in the browser, it’s a natural fit for single-page apps that integrate deeply with Google services. -
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Behaviour Suite Reinforcement Learning
bsuite is a collection of carefully-designed experiments
...Each experiment in bsuite is meticulously designed to capture key challenges in RL, such as exploration, credit assignment, and stability. The framework supports automated logging and analysis, generating standardized output compatible with Jupyter notebooks for streamlined evaluation. It also integrates easily with existing RL libraries and can be used locally or via cloud computing platforms, including Google Cloud. -
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hello.js
API library for connecting with OAuth2 services
A client-side JavaScript SDK for authenticating with OAuth2 (and OAuth1 with an OAuth proxy) web services and querying their REST APIs. HelloJS standardizes paths and responses to common APIs like Google Data Services, Facebook Graph and Windows Live Connect. It’s modular, so that list is growing. No more spaghetti code! Compiled source, which combines all of the modules, can be obtained from GitHub, and source files can be found in Source. -
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any-llm
Communicate with an LLM provider using a single interface
any-llm is a unified SDK and platform developed by Mozilla AI that allows developers to interact with multiple large language model providers through a single, consistent interface. Instead of rewriting code for each provider, developers can switch between services like OpenAI, Anthropic, Mistral, and Ollama simply by changing configuration parameters. The project is designed to be framework-agnostic, making it easy to integrate into scripts, applications, or production systems without being tied to a specific stack. It includes a core SDK for direct usage as well as an optional gateway layer that adds enterprise features such as budget management, API key control, usage analytics, and multi-tenant support. ... -
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Nylo Support
Support library for the Nylo framework
Nylo is a powerful framework for developing mobile apps in Flutter. Out of the box, it comes with a router, secure storage, networking, and more. -
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Spring AI
An Application Framework for AI Engineering
Spring AI is a framework within the Spring ecosystem that simplifies the integration of artificial intelligence capabilities into Java applications by providing abstractions over various AI services and models. It is designed to align with familiar Spring development patterns, allowing developers to incorporate AI features such as chat, embeddings, and prompt handling using consistent APIs. -
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Dropwizard
Simple library for building production-ready RESTful web services
Dropwizard is a Java framework for developing ops-friendly, high-performance, RESTful web services. Dropwizard pulls together stable, mature libraries from the Java ecosystem into a simple, light-weight package that lets you focus on getting things done. Dropwizard has out-of-the-box support for sophisticated configuration, application metrics, logging, operational tools, and much more, allowing you and your team to ship a production-quality web service in the shortest time possible. ... -
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AWS Amplify
A declarative JavaScript library for application development
The Amplify open-source client libraries provide use-case-centric, opinionated, declarative, and easy-to-use interfaces across different categories of cloud-powered operations enabling mobile and web developers to easily interact with their backends. These libraries are powered by the AWS cloud and offer a pluggable model which can be extended to use other providers. The libraries can be used with both new backends created using the Amplify CLI and existing backend resources. The Amplify... -
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Advanced Search Operators List
List of the links to the docs for different services
Advanced Search Operators List is a reference collection for learning powerful search syntax across many websites and applications. Instead of focusing only on Google dorks, it links directly to documentation for search operators used by email services, social networks, code platforms, productivity tools, search engines, and specialized databases. Covered platforms include Gmail, Outlook, GitHub, GitLab, Reddit, LinkedIn, Discord, Jira, Slack, Shodan, Censys, and many others. Additional sections cover marketplaces, maps, images, libraries, news, customer support, and IoT search engines. ... -
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raylib
A simple and easy-to-use library to enjoy videogames programming
raylib is highly inspired by Borland BGI graphics lib and by XNA framework. Do you want to see all functions available in raylib? Check raylib cheatsheet. raylib is a programming library to enjoy videogames programming; no fancy interface, no visual helpers, no auto-debugging, just coding in the most pure spartan-programmers way. raylib has received several recognitions in the last years and many people have written about the library. -
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mobx-backend
Backend framework designed to streamline the development of apps
mobx-backend is a backend framework designed to streamline the development of scalable server-side applications using modern JavaScript practices. It provides a structured approach to building APIs and services, focusing on modularity and maintainability. The framework includes built-in support for common backend concerns such as routing, data handling, and service organization. -
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LLPhant
A comprehensive PHP Generative AI Framework
...The framework focuses on usability by offering straightforward APIs for tasks like embeddings, question answering, and vector search, which are commonly required in real-world applications. It includes support for vector stores, enabling developers to build retrieval-augmented generation systems using structured or unstructured data. LLPhant also allows integration with external services and tools, making it possible to extend model capabilities beyond text generation into actionable workflows. -
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Elixir LangChain
Elixir implementation of a LangChain style framework
...The framework supports multiple providers and includes features such as streaming responses, tool calling, and structured outputs, allowing developers to create complex AI-driven workflows. -
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Rasa
Open source machine learning framework to automate text conversations
Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build contextual assistants on Facebook Messenger, Slack, Google Hangouts, Webex Teams, Microsoft Bot Framework, Rocket.Chat, Mattermost, Telegram, and Twilio or on your own custom conversational channels. Rasa helps you build contextual assistants capable of having layered conversations with lots of back-and-forths.
