Showing 6 open source projects for "linux cli minimal"

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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB 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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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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  • 1
    OpenMonoAgent

    OpenMonoAgent

    Terminal-native coding agent powered by local LLMs

    OpenMonoAgent.ai is a self-hosted coding agent designed to run entirely on the user’s own hardware. It pairs a .NET CLI with a local llama.cpp inference server so developers can use agentic coding workflows without cloud subscriptions or per-token billing. The project emphasizes privacy, local control, and ownership of the model, compute, and project data. It includes a terminal-native workflow, built-in tools, Docker sandboxing, and code intelligence features. The system can run on CPU or...
    Downloads: 0 This Week
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  • 2
    ML.NET

    ML.NET

    Open source and cross-platform machine learning framework for .NET

    With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps. ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models. These tools use Automated ML (AutoML), a cutting edge technology that...
    Downloads: 4 This Week
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  • 3
    NAPS2 - Not Another PDF Scanner

    NAPS2 - Not Another PDF Scanner

    Scan documents to PDF and other file types, as simply as possible.

    Visit NAPS2's home page at www.naps2.com. NAPS2 is a document scanning application with a focus on simplicity and ease of use. Scan your documents from WIA- and TWAIN-compatible scanners, organize the pages as you like, and save them as PDF, TIFF, JPEG, PNG, and other file formats. Available on Windows, Mac, and Linux. NAPS2 is currently available in over 40 different languages. Want to see NAPS2 in your preferred language? Help translate! See the wiki for more details.
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    Downloads: 796 This Week
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  • 4
    DevProjex

    DevProjex

    Turn any codebase into clean AI-ready context: GUI, TUI, CLI, MCP

    ...Syntax-aware compression keeps signatures and drops bodies across 20 languages, making code about 3x smaller. Export to Markdown, JSON, XML, ASCII, or save a clean project copy as a folder or ZIP. Windows, Linux, macOS. Read-only, no telemetry, no account.
    Downloads: 2 This Week
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    Veeam Data Platform v13.1

    Move workloads across hypervisors and clouds with no vendor lock-in. Try VDP free today.

    Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
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  • 5
    AICommand

    AICommand

    ChatGPT integration with Unity Editor

    AICommand is a proof-of-concept integration that lets you control the Unity Editor using natural language via ChatGPT. Instead of manually hunting through menus or writing editor scripts, you can prompt the editor to perform tasks, generate snippets, and automate actions. The project showcases an emerging workflow where LLMs augment game and tooling development by understanding intent and producing editor-side outcomes. It provides a minimal setup that connects your OpenAI API key and...
    Downloads: 0 This Week
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  • 6
    ML.NET Samples

    ML.NET Samples

    Samples for ML.NET, an open source and cross-platform machine learning

    ...We're working on simplifying ML.NET usage with additional technologies that automate the creation of the model for you so you don't need to write the code by yourself to train a model, you simply need to provide your datasets. The "best" model and the code for running it will be generated for you. The ML.NET CLI (command-line interface) is a tool you can run on any command prompt (Windows, Mac or Linux) for generating good quality ML.NET models based on training datasets you provide. In addition, it also generates sample C# code to run/score that model plus the C# code that was used to create/train it so you can research what algorithm and settings it is using.
    Downloads: 0 This Week
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