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Back to googleworkspace/apps-script-samples

Open-source alternatives to Apps Script Samples

30 open-source projects similar to googleworkspace/apps-script-samples, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Apps Script Samples alternative.

  • google/claspAvatar de google

    google/clasp

    5,484Ver en GitHub↗

    clasp is a command-line interface for managing Google Apps Script projects, enabling developers to create, sync, and deploy scripts from a local development environment. It provides an alternative to the cloud-based script editor, allowing version control, offline editing, and integration with standard development workflows. The tool supports TypeScript transpilation, so developers can write type-annotated code that compiles to JavaScript for the Apps Script runtime. Authentication is handled via OAuth 2.0, and users can synchronize local files with remote projects using ignore patterns simil

    TypeScriptapps-scriptclijavascript
    Ver en GitHub↗5,484
  • angular/angularfireAvatar de angular

    angular/angularfire

    7,814Ver en GitHub↗

    AngularFire is a set of tools for connecting applications to Firebase services. It provides a library of client-side interfaces for managing authentication, object storage, NoSQL databases, and serverless functions. The project utilizes observables and dependency injection to integrate cloud services into the application hierarchy. It features a reactive interface for streaming real-time data, managing document-based databases, and tracking authentication state as a continuous stream of tokens. The platform covers a broad range of cloud capabilities, including identity verification, binary f

    TypeScript
    Ver en GitHub↗7,814
  • burnash/gspreadAvatar de burnash

    burnash/gspread

    7,479Ver en GitHub↗

    gspread is a Python client library and API wrapper designed for programmatically interacting with Google Sheets. It serves as a spreadsheet automation library that enables the creation, organization, and management of cloud-based spreadsheets via Python scripts. The library provides a simplified interface for Google Sheets automation, allowing users to read, write, and update data without writing raw HTTP requests. It supports cloud spreadsheet integration, enabling external Python applications to use Google Sheets as a data storage layer. The project covers a broad range of capabilities inc

    Python
    Ver en GitHub↗7,479

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    assistant-ui is a React UI library and framework for building conversational interfaces that connect users to large language models. It provides a standard runtime interface to manage message streaming and data flow between chat interfaces and AI backends, complemented by a command line tool for project scaffolding and styling. The project focuses on generative UI rendering, which converts structured tool calls and data from a language model into interactive visual components. It utilizes a provider-agnostic adapter layer to standardize communication across different AI backend protocols. Th

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    SpringBlade is a development framework and platform designed for building multi-tenant SaaS applications. It provides a comprehensive scaffold for both Spring Cloud microservices and monolithic Spring Boot architectures, enabling the rapid construction of enterprise-grade software. The platform distinguishes itself through integrated LLM orchestration and industrial IoT management. It features an LLM orchestration platform that combines large language models with knowledge bases and visual AI agent workflows, alongside an IoT hub for device connectivity, state synchronization, and edge flow o

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    apache/openwhisk

    6,779Ver en GitHub↗

    OpenWhisk is a serverless cloud platform designed for deploying and executing stateless functions in response to API calls or events. It serves as a complete serverless stack, providing an API gateway for functions, a function-as-a-service runtime manager, and an event-driven workflow engine. The platform distinguishes itself through a polyglot execution model that supports multiple language runtimes and allows for the creation of custom runtimes using Docker containers. It enables complex logic through function orchestration and composition, allowing multiple functions to be chained into seq

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    BlockNote is a block-based rich text editor and a real-time collaborative workspace. It uses a JSON-based data model to organize content into draggable, nestable blocks rather than a single flat document. The system functions as a high-level interface built on ProseMirror that abstracts document state into discrete, manipulatable content blocks. The project serves as a framework for integrating large language models into document editors, enabling context-aware text generation and AI-driven workflows. It also acts as a document export engine capable of converting structured block data into fo

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    microsoft/onnxruntime

    19,347Ver en GitHub↗

    This project is a cross-platform machine learning inference engine designed to execute pre-trained models across diverse operating systems and hardware environments. It functions as a standardized execution framework that manages the entire lifecycle of model inference, from loading and graph optimization to hardware-accelerated execution and generative sequence management. The runtime distinguishes itself through a highly modular architecture that decouples model logic from hardware-specific kernels. By utilizing an execution provider abstraction, it enables developers to offload computation

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    Ver en GitHub↗19,347
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    open-webui/open-webui

    142,694Ver en GitHub↗

    Open WebUI is a self-hosted, web-based platform designed for interacting with local and remote artificial intelligence models. It functions as a unified interface and orchestration suite, enabling users to build, deploy, and manage specialized AI agents equipped with custom instructions, external tool access, and private knowledge bases. The platform distinguishes itself through a modular architecture that supports complex AI workflows. It features a plugin-based framework for custom logic and pipeline-based request processing, allowing developers to filter or transform data streams before th

    Pythonaillmllm-ui
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    letta-ai/letta

    21,168Ver en GitHub↗

    Letta is a framework for building, deploying, and managing autonomous AI agents that maintain persistent state across long-term interactions. It provides a comprehensive suite of primitives for defining agents with configurable personas, modular memory blocks, and tool-use capabilities, enabling them to retain user preferences and conversation history over extended sessions. The platform distinguishes itself through its advanced memory management and orchestration capabilities. It allows agents to autonomously update their own memory, perform retrieval-augmented generation, and coordinate com

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  • boto/boto3Avatar de boto

    boto/boto3

    9,834Ver en GitHub↗

    Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage. The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and contain

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    phidatahq/phidata

    40,734Ver en GitHub↗

    Phidata is an LLM agent framework and agentic workflow orchestrator used to build autonomous agents that integrate custom data, tools, and memory. It provides a production environment for serving these agents as services via APIs, utilizing server-sent events and websockets for real-time communication. The system distinguishes itself through a human-in-the-loop control layer that requires manual approval and administrative sign-off for specific tool executions. It also implements a multi-tenant AI infrastructure that uses token-based roles to ensure data isolation between different tenants.

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    NirDiamant/GenAI_Agents

    20,047Ver en GitHub↗

    GenAI_Agents is a development framework and orchestration engine designed for building autonomous, multi-agent systems. It provides the infrastructure to construct complex, state-managed workflows where specialized agents collaborate to execute multi-step tasks, manage long-term memory, and perform iterative reasoning. The platform distinguishes itself through its graph-based orchestration model, which allows developers to define intricate agentic processes with explicit state transitions. It supports advanced control mechanisms such as human-in-the-loop intervention for manual oversight and

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    This project is an educational resource designed for learning the Python programming language. It serves as a tutorial repository and programming guide, providing a collection of annotated scripts, code examples, and cheatsheets to help users master syntax and core fundamentals. The resource focuses on moving from basic language syntax to advanced implementation, with a particular emphasis on object-oriented programming, the use of the Python standard library, and scripting automation for business workflows. The content covers a broad range of programming capabilities, including control flow

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    openai/openai-python

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    The OpenAI Python library is a generative AI client library designed to simplify communication with large language model services. It functions as a language-specific software development kit that maps local code calls to remote service endpoints, enabling the integration of text generation, data analysis, and reasoning tasks into software applications. The library acts as a structured abstraction layer that manages the complexities of network-based service interactions, including authentication, connection pooling, and header management. It distinguishes itself through built-in request orche

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    ragapp/ragapp

    4,438Ver en GitHub↗

    This project is an agentic retrieval-augmented generation platform and orchestration framework designed to connect large language models to private enterprise data. It serves as a self-hosted AI gateway that integrates vector databases and external tools to automate complex information retrieval and generation tasks. The system differentiates itself through an AI agent workflow builder that orchestrates multiple specialized agents with distinct roles to solve multi-step problems. It includes a dedicated vector database integration interface for indexing private documents and a secure sandbox

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    firebase/quickstart-js

    5,367Ver en GitHub↗

    This project is a collection of reference implementations, sample code, and starter kits for integrating Firebase backend services into web applications using the JavaScript SDK. It serves as a practical guide for bootstrapping projects with cloud-hosted authentication, databases, and serverless logic. The repository provides specific examples for implementing real-time data synchronization, user identity management, and event-driven cloud functions. It also includes reference code for using local service emulators to test cloud functionality on a local machine before production deployment.

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    Ver en GitHub↗5,367
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    53AI/53AIHub

    9,025Ver en GitHub↗

    53AIHub is a centralized orchestration platform for deploying and managing AI agents and prompts across multiple large language model providers. It functions as a multi-model AI gateway and an operation portal for AI services, providing a unified interface to coordinate agents and prompts from various external platforms. The project distinguishes itself as a white-label AI portal designed for self-hosted infrastructure, allowing for full control over operational data on private servers or containers. It includes a comprehensive AI SaaS administration layer with a multi-tenant subscription eng

    Gocozedifyfastgpt
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    zenml-io/zenml

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    ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented

    Pythonagentopsagentsai
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    mastra-ai/mastra

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    Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and multi-agent systems. It provides a comprehensive suite of primitives for creating resilient AI applications, including durable workflow orchestration, event-driven agent loops, and semantic memory management. By integrating these core components, the platform enables developers to build complex, multi-step processes that can reason about goals and execute tasks without manual intervention. The framework distinguishes itself through its focus on observability and secure, isolated execut

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    Open Design is an AI design orchestration platform and LLM agent workspace designed for generating prototypes, presentations, and motion graphics. It functions as a local-first environment that integrates various command-line AI agents and coding tools into a unified design workflow, allowing users to migrate design specifications into brand-compliant source code. The project is distinguished by its ability to enforce visual consistency through a design system manager that defines brand contracts and tokens using Markdown. It features a specialized motion graphics generator that converts HTML

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    Activiti/Activiti

    10,518Ver en GitHub↗

    Activiti is a workflow engine designed to model, execute, and manage business processes using the BPMN 2.0 standard. It functions as a Java-based framework that embeds process orchestration directly into enterprise applications and microservices to coordinate sequences of tasks and human-centric interactions. The platform utilizes a persistent state machine to maintain the status of long-running workflows in a relational database, ensuring continuity across system restarts. It manages high-volume environments through optimistic concurrency control, which tracks versioning tokens to prevent da

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    super-productivity/super-productivity

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    AutomaApp/automa

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    Automa is a browser-based automation platform that enables users to build, schedule, and execute repetitive web tasks through a visual, no-code interface. By operating as a browser extension, it provides a canvas-based environment where users construct workflows by connecting functional blocks to interact with web elements, manage browser state, and process data. The platform distinguishes itself through its deep integration with the browser environment, allowing for complex orchestration such as event-driven triggers, cross-origin request handling, and the ability to package workflows as sta

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    Leizhenpeng/feishu-chatgpt

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