Showing 12 open source projects for "nginx-rtmp-module"

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  • Secure File Transfer for Windows with Cerberus by Redwood Icon
    Secure File Transfer for Windows with Cerberus by Redwood

    Protect and share files over FTP/S, SFTP, HTTPS and SCP with the #1 rated Windows file transfer server.

    Cerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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    Forever Free Full-Stack Observability | Grafana Cloud

    Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

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  • 1
    MagicMirror²

    MagicMirror²

    Modular smart mirror platform with a list of installable modules

    ...Share your ideas, ask your questions and get support. The perfect place for you to start. MagicMirror² has an extensively documentated API. It allows you to built your own module backed by a powerful backend. Check out the API documentation for more information and start developing today.
    Downloads: 2 This Week
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  • 2
    Discord.js

    Discord.js

    A powerful JavaScript library for interacting with the Discord API

    discord.js is a powerful Node.js module that allows you to interact with the Discord API very easily. It takes a much more object-oriented approach than most other JS Discord libraries, making your bot's code significantly tidier and easier to comprehend. Usability, consistency, and performance are key focuses of discord.js, and it also has nearly 100% coverage of the Discord API.
    Downloads: 1 This Week
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  • 3
    Jimp

    Jimp

    An image processing library written entirely in JavaScript for Node

    ...Instead of using require, you must import it with ES6 default import scheme. If you're using a web bundles (webpack, rollup, parcel) you can benefit from using the module build of jimp. Using the module build will allow your bundler to understand your code better and exclude things you aren't using. If you're using webpack you can set process.browser to true and your build of jimp will exclude certain parts, making it load faster. The static Jimp.read method takes the path to a file, URL, dimensions, a Jimp instance or a buffer and returns a Promise. ...
    Downloads: 0 This Week
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  • 4
    compromise

    compromise

    Modest natural-language processing

    ...Conjugate and negate verbs in any tense. Play between plural, singular and possessive forms. Interpret plain-text numbers. Handle implicit terms. Use it on the client-side or as an es-module. compromise is 180kb (minified). It's pretty fast. It can run on keypress. It works mainly by conjugating all forms of a basic word list. Decide how words get interpreted or make heavier changes with a compromise-plugin. Parse text without running POS-tagging. Pre-parse any match statements for faster lookups. It is not the most accurate, or clever nlp library, but found its niche as an easy, small library that can run everywhere.
    Downloads: 2 This Week
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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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  • 5
    Open Vibe

    Open Vibe

    Open Vibe turns Claude Code into a SaaS-building assistant

    ...The workflow starts with setup instructions that install Node.js, install the Wasp CLI, and verify the local environment. After creating a new Wasp app, the user opens an AI coding agent inside the project and lets it fetch course module instructions. The agent then works as both tutor and pair programmer, explaining the system while helping the user build features from plain-language requests. Progress is tracked through JSON files written into the project, making the learning path structured while still letting the user build their own app idea.
    Downloads: 0 This Week
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  • 6
    David UI

    David UI

    Free Tailwind CSS UI component library for modern web interfaces

    ...David AI includes a variety of interactive UI elements such as accordions, modals, dropdowns, and tooltips that can be used to construct complex interfaces without building them from scratch. It supports both simple module imports and more advanced programmatic usage with TypeScript, giving developers greater control over component behavior and configuration. It emphasizes developer experience, performance, and maintainability.
    Downloads: 0 This Week
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  • 7
    natural

    natural

    General natural language facilities for node

    "Natural" is a general natural language facility for nodejs. It offers a broad range of functionalities for natural language processing. Tokenizing, stemming, classification, phonetics, tf-idf, WordNet, string similarity, and some inflections are currently supported. It’s still in the early stages, so we’re very interested in bug reports, contributions and the like. Note that many algorithms from Rob Ellis’s node-nltools are being merged into this project and will be maintained from here...
    Downloads: 0 This Week
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  • 8
    dashAI

    dashAI

    dashAI: an interactive platform for training, evaluating and deploying

    dashAI is an open-source, No-code workbench for Exploratory Data Analysis and classical ML. Visual data preparation, multi-model experiments, XAI explainability, and a plugin-based extensible catalog. The platform guides users through a complete, traceable workflow — data ingestion → visual exploration → preprocessing → model training → evaluation → explainability — without writing a single line of code. Each step is explicit and reversible, keeping the user in control rather than...
    Downloads: 5 This Week
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  • 9
    LIDA

    LIDA

    Automatic Generation of Visualizations and Infographics using LLMs

    LIDA is an open-source library developed to automate the process of creating data visualizations and infographics using large language models. The system treats visualizations as executable code and uses AI to generate, modify, and interpret that code in order to transform raw datasets into meaningful charts and graphical explanations. Instead of requiring users to manually explore datasets and write plotting scripts, LIDA analyzes the data and automatically proposes visualization goals and...
    Downloads: 0 This Week
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    $300 Free Credits to Build on Google Cloud

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  • 10
    Node ChatGPT API

    Node ChatGPT API

    A client implementation for ChatGPT and Bing AI

    A client implementation for ChatGPT and Bing AI. Available as a Node.js module, REST API server, and CLI app. Support for the official ChatGPT model has been added! You can now use the gpt-3.5-turbo model with the official OpenAI API, using ChatGPTClient. This is the same model that ChatGPT uses, and it's the most powerful model available right now. Usage of this model is not free, however it is 10x cheaper than text-davinci-003.
    Downloads: 0 This Week
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  • 11
    pdf-extractor

    pdf-extractor

    Node.js module for rendering pdf pages to images, svgs and HTML files

    Pdf-extractor is a wrapper around pdf.js to generate images, svgs, html files, text files and json files from a pdf on node.js. A DOM Canvas is used to render and export the graphical layer of the pdf. Canvas exports *.png as a default but can be extended to export to other file types like .jpg. Pdf objects are converted to svg using the SVGGraphics parser of pdf.js. Pdf text is converted to HTML. This can be used as a (transparent) layer over the image to enable text selection. Pdf text is...
    Downloads: 0 This Week
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  • 12
    commit-autosuggestions

    commit-autosuggestions

    A tool that AI automatically recommends commit messages

    ...However, most code changes are not made only by add of the code, and some parts of the code are deleted. We plan to slowly conquer languages that are not currently supported. To run this project, you need a flask-based inference server (GPU) and a client (commit module). If you don't have a GPU, don't worry, you can use it through Google Colab.
    Downloads: 0 This Week
    Last Update:
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