Showing 1741 open source projects for "node-red"

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  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

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  • 1
    Deep Lake

    Deep Lake

    Data Lake for Deep Learning. Build, manage, and query datasets

    ...It can be deployed locally or in the cloud, and it enables you to store all of your data in one place, ranging from simple annotations to large videos. Deep Lake is used by Google, Waymo, Red Cross, Omdena, Yale, & Oxford. Use one API to upload, download, and stream datasets to/from AWS S3/S3-compatible storage, GCP, Activeloop cloud, or local storage. Store images, audios and videos in their native compression. Deeplake automatically decompresses them to raw data only when needed, e.g., when training a model. Treat your cloud datasets as if they are a collection of NumPy arrays in your system's memory. ...
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  • 2
    Pangolin

    Pangolin

    Identity-Aware Tunneled Reverse Proxy Server with Dashboard UI

    ...With Pangolin you can route traffic from across distributed networks, enforce contextual access rules (such as SSO, geolocation, time of day, IP restrictions), and manage all of your exposed resources in one dashboard. It supports multi-site deployments and highly-available node architectures, enabling you to own your infrastructure yet still get orchestration and control benefits. Pangolin works well for individuals, teams or organizations that need to expose internal web apps, APIs, or services, while maintaining strong authentication, auditing and governance.
    Downloads: 1 This Week
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  • 3
    Electron.NET

    Electron.NET

    Build cross platform desktop apps with ASP.NET Core

    Build cross-platform desktop apps with .NET 5 and ASP.NET NET Core (Razor Pages, MVC), Blazor. Electron.NET is a wrapper around a "normal" Electron application with an embedded ASP.NET Core application. Via our Electron.NET IPC bridge we can invoke Electron APIs from .NET. The CLI extensions host our toolset to build and start Electron.NET applications. There are lots of different approaches how to get an X-plat desktop app running. We thought it would be nice for .NET devs to use the...
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  • 4
    LoLLMs Hub Fortress

    LoLLMs Hub Fortress

    A proxy server for multiple ollama instances with Key security

    LoLLMs Hub Fortress is a high-performance AI orchestration platform designed to unify multiple large language model backends into a single, secure, and scalable API layer. It acts as a central gateway that connects different inference engines such as Ollama, llama.cpp, vLLM, and OpenAI-compatible services, allowing them to function as interchangeable compute nodes within one system. The architecture is built around a hierarchical “master and slave” hub model, enabling distributed deployments...
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  • 5
    Aglais XQVM

    Aglais XQVM

    A rust implementation of the Quip Network's quantum virtual machine

    ...Built in Rust, it emphasizes memory safety, performance, and deterministic execution, which are critical for distributed environments. It integrates with the broader Quip ecosystem, allowing it to function as part of a larger protocol stack that includes blockchain infrastructure and node management tools. The virtual machine abstraction enables developers to define and execute computational logic in a controlled environment, potentially bridging classical and quantum paradigms. Its design suggests use cases in advanced computation, cryptography, or experimental distributed systems.
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  • 6
    BehaviorTree.CPP

    BehaviorTree.CPP

    C++ behavior tree library for robotics and AI decision systems

    BehaviorTree.CPP is a C++ library designed to create, manage, and execute behavior trees, a widely used model for decision-making in robotics and artificial intelligence systems. It provides a flexible and modular framework that allows developers to define complex behaviors as reusable tree structures composed of nodes. BehaviorTree.CPP emphasizes performance and real-time execution, making it particularly suitable for robotics applications where responsiveness is critical. It supports...
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  • 7
    Apache Hamilton

    Apache Hamilton

    Helps data scientists define testable self-documenting dataflows

    Apache Hamilton is an open-source Python framework designed to simplify the creation and management of dataflows used in analytics, machine learning pipelines, and data engineering workflows. The framework enables developers to define data transformations as simple Python functions, where each function represents a node in a dataflow graph and its parameters define dependencies on other nodes. Hamilton automatically analyzes these functions and constructs a directed acyclic graph representing the pipeline, allowing the system to execute transformations in the correct order. This approach encourages modular, testable, and maintainable data pipelines because each transformation is isolated and easily unit tested. ...
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  • 8
    Cube Studio

    Cube Studio

    Cube Studio open source cloud native one-stop machine learning

    Cube Studio is an open-source, cloud-native end-to-end machine learning and AI platform designed to support the full lifecycle of AI development — from data preparation and interactive notebook coding to distributed training, model tuning, and deployment in production-ready environments. It provides a unified interface where teams can manage data sources, track datasets, and build pipelines using drag-and-drop workflow orchestration, making it accessible for both engineers and data...
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  • 9
    Hypermind

    Hypermind

    The high-availability solution to a problem that doesn't exist

    Hypermind is a whimsical yet technically intriguing decentralized application that combines a peer-to-peer (P2P) network counter with ephemeral chat functionality, built to “solve” the meta-problem of tracking how many peers are running its container in a decentralized mesh. There’s no central server or database; instead, Hypermind leverages a Distributed Hash Table (DHT) using Hyperswarm to discover peers and maintain approximate counts of active nodes, architected to be a fully...
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  • 10
    Christmas Tree

    Christmas Tree

    Just a simple Christmas tree, based on reddit story

    atree is a lightweight JavaScript library for managing and visualizing hierarchical tree data structures in a flexible and efficient way. It offers core abstractions for creating nodes, building parent–child relationships, and traversing trees with utilities for depth, breadth, and custom iteration strategies. Because tree structures are ubiquitous in computing—from file systems and organizational charts to DOM structures and evolutionary taxonomies—atree provides a reusable foundation for...
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  • 11
    Dafthunk

    Dafthunk

    A workflow execution platform built on top of the fantastic Cloudflare

    Dafthunk is a browser-first visual workflow automation platform that lets you build, run, and monitor workflows without standing up a traditional server stack. It’s designed around durable, multi-step execution so workflows can keep going (and recover) even when individual steps fail, time out, or need retries. The platform is closely aligned with Cloudflare’s ecosystem, using edge-native building blocks for execution, orchestration, and storage so workflows can run near users with low...
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  • 12
    Memories

    Memories

    Build a full stack MERN application

    Project MERN Memories is a full-stack application built as a learning tutorial, using the MERN stack: React on the front end, Node.js and Express on the back end, and MongoDB for data persistence. The app is called “Memories” and allows users to post interesting events from their lives (memories), providing a simple social media–style interface and back-end API to support create, read, update, delete of posts. The repository is tied to a video tutorial series that covers the project from...
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  • 13
    EPLB

    EPLB

    Expert Parallelism Load Balancer

    ...EPLB solves this by duplicating heavily used experts (redundancy) and then placing those duplicates across GPUs to even out computational load. It uses policies like hierarchical load balancing (grouped experts placed at node and then GPU level) and global load balancing depending on configuration. The logic is implemented in eplb.py and supports predicting placements given estimated expert usage weights. EPLB aims to reduce hot-spotting and ensure more uniform usage of compute resources in large MoE deployments.
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  • 14
    AReal

    AReal

    Lightning-Fast RL for LLM Reasoning and Agents. Made Simple & Flexible

    AReaL is an open source, fully asynchronous reinforcement learning training system. AReal is designed for large reasoning and agentic models. It works with models that perform reasoning over multiple steps, agents interacting with environments. It is developed by the AReaL Team at Ant Group (inclusionAI) and builds upon the ReaLHF project. Release of training details, datasets, and models for reproducibility. It is intended to facilitate reproducible RL training on reasoning / agentic tasks,...
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  • 15
    OpenYurt

    OpenYurt

    Extending your native Kubernetes to edge(project under CNCF)

    OpenYurt is built based on upstream Kubernetes and is now hosted by the Cloud Native Computing Foundation(CNCF) as a Sandbox Level Project. OpenYurt has been designed to meet various DevOps requirements against typical edge infrastructures. It provides a consistent user experience for managing the edge applications as if they were running in the cloud infrastructure. It addresses specific challenges for cloud-edge orchestration in Kubernetes such as unreliable or disconnected cloud-edge...
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  • 16
    qryn

    qryn

    All-in-one Polyglot Observability stack with ClickHouse storage

    ...Let's get Polyglot. qryn independently implements popular observability standards, protocols and query languages. Make sure you have sufficient memory and disk resources allocated for your node service and clickhouse server when dealing with large amounts of data and fingerprints. We suggest 8GB RAM or higher for most setups with 100k-1M fingerprints. Observe your daily and weekly data consumption to forecast your disk usage requirements. Compression codecs and other optimizations can be performed at the ClickHouse level.
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  • 17
    Hyprspace

    Hyprspace

    A Lightweight VPN Built on top of IPFS + Libp2p

    ...Libp2p is a networking library created by Protocol Labs that allows nodes to discover each other using a Distributed Hash Table. Paired with NAT hole punching this allows Hyprspace to create a direct encrypted tunnel between two nodes even if they're both behind firewalls. Moreover! Each node doesn't even need to know the other's ip address prior to starting up the connection. This makes Hyprspace perfect for devices that frequently migrate between locations but still require a constant virtual ip address.
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  • 18
    Project Lotus

    Project Lotus

    Reference implementation of the Filecoin protocol, written in Go

    Lotus is the reference implementation for the Filecoin network. It is written in Go, and is maintained by the Protocol Labs team. This website contains all the information you need to spin up a Lotus node, become a Filecoin storage provider, or just tinker around with the Filecoin network! Filecoin is a network of computers that allows you to store your data online. But while online storage services aren't anything new, Filecoin is different. It doesn't use centralized servers to store your data or rely on aggressive analytics tactics to make a profit and pay its shareholders. ...
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  • 19
    Ember Infinity

    Ember Infinity

    Simple, flexible Infinite Scroll for Ember CLI Apps

    Simple, flexible Infinite Scroll for Ember CLI Apps. As of v2.0.0, we support Node 10 and above. We test against ember-source > 3.8. Try out v2.0.0. If it doesn't work or you don't have the right polyfills because you are on an older Ember version, then v1.4.9 will be your best bet. Ember Infinity is based on a component-service approach wherein your application is viewed as an interaction between your components (ephemeral state) and service (long-term state).
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  • 20
    level

    level

    Universal abstract-level database for Node.js and browsers

    ...At the time of writing, level works in Node.js 12+ and Electron 5+ on Linux, Mac OS, Windows and FreeBSD, including any future Node.js and Electron release thanks to Node-API, including ARM platforms like Raspberry Pi and Android, as well as in Chrome, Firefox, Edge, Safari, iOS Safari and Chrome for Android.
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  • 21
    Stacks

    Stacks

    The Stacks 2.0 blockchain implementation

    ...Normal releases in this repository that add features such as improved RPC endpoints, improved boot-up time, new event observer fields or event types, etc., are released on a monthly schedule. The currently staged changes for such releases are in the development branch. It is generally safe to run a stacks-node from that branch, though it has received less rigorous testing than release tags. If bugs are found in the develop branch, please do report them as issues on this repository.
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  • 22
    Babel Loader

    Babel Loader

    Babel loader for webpack

    ...You can instead require the Babel runtime as a separate module to avoid the duplication. Webpack supports bundling multiple targets. For cases where you may want different Babel configurations for each target (like web and node), this loader provides a target property via Babel's caller API.
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  • 23
    jsdom

    jsdom

    JavaScript implementation of various web standards, for use with Node

    jsdom is a pure-JavaScript implementation of many web standards, notably the WHATWG DOM and HTML Standards, for use with Node.js. In general, the goal of the project is to emulate enough of a subset of a web browser to be useful for testing and scraping real-world web applications. The latest versions of jsdom require Node.js v10 or newer. To use jsdom, you will primarily use the JSDOM constructor, which is a named export of the jsdom main module. Pass the constructor a string. The resulting...
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  • 24
    Murex

    Murex

    A smarter shell and scripting environment with advanced features

    ...Usability improvements such as in-line spell checking, context-sensitive hint text that details the behavior of a command before you hit return, and auto-parsing man pages for auto-completions on commands that don't have auto-completions already defined. Smarter handling of errors and debugging tools. For example try/catch blocks, line numbers included in error messages, STDOUT highlighted in red and script testing and debugging frameworks baked into the language itself.
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  • 25
    Harvester

    Harvester

    Open source hyperconverged infrastructure (HCI) software

    Harvester is a modern, open, interoperable, hyperconverged infrastructure (HCI) solution built on Kubernetes. It is an open-source alternative designed for operators seeking a cloud-native HCI solution. Harvester runs on bare metal servers and provides integrated virtualization and distributed storage capabilities. In addition to traditional virtual machines (VMs), Harvester supports containerized environments automatically through integration with Rancher. It offers a solution that unifies...
    Downloads: 1 This Week
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