Search Results for "data integration" - Page 34

Showing 1658 open source projects for "data integration"

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  • 1
    HeadlessX

    HeadlessX

    The undetected self-hosted browser automation platform

    HeadlessX is an open-source, self-hosted browser automation platform designed to run headless browsers for tasks such as web scraping, automation, and testing. The system provides a centralized service that allows developers to programmatically control browser sessions and extract data from websites through a structured API. It is built using modern technologies including Node.js, Next.js, TypeScript, and Playwright, and uses a specialized browser engine called Camoufox based on Firefox. One...
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  • 2
    TensorFlow Quantum

    TensorFlow Quantum

    Open-source Python framework for hybrid quantum-classical ml learning

    TensorFlow Quantum is an open-source software framework designed for building and training hybrid quantum-classical machine learning models within the TensorFlow ecosystem. The framework enables researchers and developers to represent quantum circuits as data and integrate them directly into machine learning workflows. By combining classical deep learning techniques with quantum algorithms, the platform allows experimentation with quantum machine learning methods that may offer advantages...
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  • 3
    Agent Behavior Monitoring

    Agent Behavior Monitoring

    The open source post-building layer for agents

    Agent Behavior Monitoring is an open-source framework designed to monitor, evaluate, and improve the behavior of AI agents operating in real or simulated environments. The system focuses on agent behavior monitoring by collecting interaction data and analyzing how agents perform across different scenarios and tasks. Developers can use the framework to observe agent actions in both online production environments and offline evaluation settings, making it useful for debugging and performance...
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  • 4
    MiroFlow

    MiroFlow

    Agent framework that enables tool-use agent tasks

    MiroFlow is a high-performance open-source framework designed for building intelligent AI agents capable of solving complex reasoning and research tasks. The system introduces a hierarchical architecture that organizes components into control, agent, and foundation layers, allowing developers to manage agent orchestration and tool interactions in a structured manner. One of the core innovations of MiroFlow is its use of agent graphs, which enable flexible orchestration of multiple sub-agents...
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  • 5
    DriveLM

    DriveLM

    Driving with Graph Visual Question Answering

    DriveLM is a research-oriented framework and dataset designed to explore how vision-language models can be integrated into autonomous driving systems. The project introduces a new paradigm called graph visual question answering that structures reasoning about driving scenes through interconnected tasks such as perception, prediction, planning, and motion control. Instead of treating autonomous driving as a purely sensor-driven pipeline, DriveLM frames it as a reasoning problem where models...
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  • 6
    Jlama

    Jlama

    Jlama is a modern LLM inference engine for Java

    Jlama is a modern inference engine written entirely in Java that enables developers to run large language models locally within Java applications. Unlike frameworks that require external APIs or remote services, Jlama performs inference directly on a machine using pre-trained models. This allows organizations to integrate generative AI features into their systems while maintaining full control over data privacy and infrastructure. The engine supports a wide range of open-source model...
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  • 7
    BuildingAI

    BuildingAI

    Build your own AI application system for free

    BuildingAI is an open-source project focused on applying artificial intelligence techniques to architectural design and building information modeling workflows. The platform aims to bridge the gap between natural language interfaces and building design tools by allowing AI systems to interpret user instructions and convert them into structured architectural operations. By combining generative AI capabilities with building data models, the system can assist with tasks such as design...
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  • 8
    WebGLM

    WebGLM

    An Efficient Web-enhanced Question Answering System

    WebGLM is a web-enhanced question-answering system that combines a large language model with web search and retrieval capabilities to produce more accurate answers. The system is based on the General Language Model architecture and was designed to enable language models to interact directly with web information during the question-answering process. Instead of relying solely on knowledge stored in the model’s training data, the system retrieves relevant web content and integrates it into the...
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  • 9
    LlamaGen

    LlamaGen

    Autoregressive Model Beats Diffusion

    LlamaGen is an open-source research project that introduces a new approach to image generation by applying the autoregressive next-token prediction paradigm used in large language models to visual generation tasks. Instead of relying on diffusion models, the framework treats images as sequences of tokens that can be generated progressively using transformer architectures similar to those used for text generation. The project explores how scaling autoregressive models and improving image...
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  • 10
    DevDocs by CyberAGI

    DevDocs by CyberAGI

    Completely free, private, UI based Tech Documentation MCP server

    DevDocs is an open-source documentation server designed to provide developers with a private, structured interface for browsing and interacting with technical documentation using AI tools. The system functions as a Model Context Protocol (MCP) server that allows large language models and developer assistants to access technical documentation in a structured and efficient way. Instead of sending entire documents to a language model, DevDocs organizes documentation into sections so that only...
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  • 11
    OmAgent

    OmAgent

    Build multimodal language agents for fast prototype and production

    OmAgent is an open-source Python framework designed to simplify the development of multimodal language agents that can reason, plan, and interact with different types of data sources. The framework provides abstractions and infrastructure for building AI agents that operate on text, images, video, and audio while maintaining a relatively simple interface for developers. Instead of forcing developers to implement complex orchestration logic manually, the system manages task scheduling, worker...
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  • 12
    text-extract-api

    text-extract-api

    Document (PDF, Word, PPTX ...) extraction and parse API

    text-extract-api is an open-source service designed to extract readable text from a wide variety of document formats through a simple API interface. The project focuses on converting complex files such as PDFs, images, scanned documents, and office files into structured plain text that can be processed by downstream applications or language models. Instead of requiring developers to integrate multiple document parsing libraries individually, the system centralizes text extraction...
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  • 13
    Project Dashboard

    Project Dashboard

    A modern project & task management dashboard

    Project Dashboard is a full-stack dashboard template designed to help teams and freelancers visualize progress, tasks, and metrics in a centralized UI, making project status, deadlines, and priorities easier to track at a glance. It provides Kanban boards, task lists, timelines, and customizable widgets that can surface everything from completion percentages to individual assignments and due dates. The template is built with modern frontend frameworks and pairs with backend APIs for...
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  • 14
    c15t

    c15t

    The Developer-First Cookie Banner

    c15t is a developer-first, open-source consent management platform designed to help modern web applications manage user privacy and compliance, especially for things like cookie banners, consent dialogs, and script loading in a way that supports GDPR and other privacy regulations. Rather than relying on heavy third-party scripts or services, it offers a flexible, headless engine that web teams can integrate directly into their front-end and edge stacks with minimal overhead, giving full...
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  • 15
    Nano Events

    Nano Events

    Simple and tiny (107 bytes) event emitter library for JavaScript

    Nano Events is a minimalistic, high-performance event emitter library for JavaScript. Its goal is to provide the simplest possible API to add pub/sub capabilities (emitters and listeners) to any JS object or application, while keeping overhead and bundle size extremely small. Rather than offering many complex features, nanoevents focuses on the core primitives: creating an emitter, subscribing to named events, emitting events with arbitrary data, and unsubscribing. Because of its minimal API...
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  • 16
    Earth Engine API

    Earth Engine API

    Python and JavaScript bindings for calling the Earth Engine API

    The Earth Engine API provides Python and JavaScript client libraries for Google Earth Engine, a planetary-scale geospatial analysis platform. With it, users compose lazy, server-side computations over massive catalogs of satellite imagery and vector datasets without handling raw files locally. The API exposes functional operators for map algebra, reducers, joins, and machine learning that scale transparently on Earth Engine’s backend. Developers authenticate once, work interactively in...
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  • 17
    Firecrawl MCP Server

    Firecrawl MCP Server

    Adds powerful web scraping and search to Cursor and Claude

    firecrawl-mcp-server is the official MCP integration for Firecrawl that brings high-recall web scraping, crawling, and search into IDEs and agent runtimes. It exposes tools for single-page scrape, multi-URL batch jobs, site discovery, and search enrichment, returning cleaned, structured content suitable for downstream LLM reasoning. The server is designed to run with Firecrawl’s hosted API or self-hosted deployments, making it flexible for enterprise data-governance requirements. ...
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  • 18
    mlr3

    mlr3

    mlr3: Machine Learning in R - next generation

    mlr3 is a modern, object-oriented R framework for machine learning. It provides core abstractions (tasks, learners, resamplings, measures, pipelines) implemented using R6 classes, enabling extensible, composable machine learning workflows. It focuses on clean design, scalability (large datasets), and integration into the wider R ecosystem via extension packages. Users can do classification, regression, survival analysis, clustering, hyperparameter tuning, benchmarking etc., often via...
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  • 19
    Mem0

    Mem0

    The Memory layer for AI Agents

    ...It remembers user preferences, adapts to individual needs, and continuously improves over time. Key features include enhancing future conversations by building smarter AI that learns from every interaction, reducing LLM costs by up to 80% through intelligent data filtering, delivering more accurate and personalized AI outputs by leveraging historical context, and offering easy integration compatible with platforms like OpenAI and Claude. Mem0 is perfect for projects such as customer support, where chatbots remember past interactions to reduce repetition and speed up resolution times; personal AI companions that recall preferences and past conversations for more meaningful interactions; AI agents that learn from each interaction to become more personalized and effective over time.
    Downloads: 0 This Week
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  • 20
    Chronicle Queue

    Chronicle Queue

    Micro second messaging that stores everything to disk

    ...With millions of users worldwide, Chronicle Queue is a leading choice for organizations of all sizes seeking a low-latency, high-performance messaging framework. The Chronicle Queue Enterprise version eliminates compatibility issues and allows for the seamless integration and sharing of data between Java, Rust, Python, and C++ libraries. Chronicle Queue is available as a fully native Java, Rust or C++ library, and also supports a Python API. All versions are fully binary compatible.
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  • 21
    General purpose PHP SOAP-client

    General purpose PHP SOAP-client

    A general purpose SOAP client for PHP

    ...If you ever had to implement WSA or WSSE in SOAP, you know that there is something wrong in the core. Therefore, we made it easy for you to extend our SOAP client. You can specify which data transfer handler like e.g. Guzzle you want to use. Depending on the selected handler, you can easily add support for SOAP extensions or advanced authentication through HTTP middlewares.
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  • 22
    Spring Cloud Netflix

    Spring Cloud Netflix

    Integration with Netflix OSS components

    This project provides Netflix OSS integrations for Spring Boot apps through autoconfiguration and binding to the Spring Environment and other Spring programming model idioms. With a few simple annotations you can quickly enable and configure the common patterns inside your application and build large distributed systems with battle-tested Netflix components. The patterns provided include Service Discovery (Eureka), Circuit Breaker (Hystrix), Intelligent Routing (Zuul) and Client Side Load...
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  • 23
    elasticsearc-php

    elasticsearc-php

    PHP low-level client for Elasticsearch

    Introducing Elasticsearch DSL library to provide objective query builder for Elasticsearch bundle and elasticsearch-php client. You can easily build any Elasticsearch query and transform it to an array. This agnostic package is a lightweight wrapper on top of the Elasticsearch PHP client. Its main goal is to allow for easier structuring of queries and indices in your application. It does not want to hide or replace the functionality of the Elasticsearch PHP client. Feature complete, object...
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  • 24
    Boltons

    Boltons

    250+ constructs, recipes, and snippets which extend the Python library

    Boltons is a set of pure-Python utilities in the same spirit as, and yet conspicuously missing from, the standard library. Due to the nature of utilities, application developers might want to consider other integration options. Boltons is tested against Python 2.6-2.7, 3.4-3.7, and PyPy. The majority of boltons strive to be “good enough” for a wide range of basic uses, leaving advanced use cases to Python’s myriad specialized 3rd-party libraries. In many cases the respective boltons module...
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  • 25
    Bootstrap Table

    Bootstrap Table

    Extended table to integration with some of the most widely used CSS

    Include Bootstrap Table source CSS and JavaScript files via npm or yarn. When you only need to include Bootstrap Table’s compiled CSS or JS, use UNPKG. Download Bootstrap Table to get the compiled CSS and JavaScript, source code, or include it with your favorite package managers like npm, bowser, and more. Install and manage Bootstrap table’s CSS, JavaScript, locales, and extensions using npm. Install and manage Bootstrap table’s CSS, JavaScript, locales, and extensions using bower. Be sure...
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