Showing 4 open source projects for "batch tools"

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    MongoDB Atlas runs apps anywhere

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    Train ML Models With SQL You Already Know

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    IronCalc

    IronCalc

    Main engine of the IronCalc ecosystem

    IronCalc is a new, modern, work-in-progress spreadsheet engine and set of tools to work with spreadsheets in diverse settings. IronCalc is a lightweight, open-source computational engine designed for performing mathematical operations, formula calculations, and data-driven tasks.
    Downloads: 0 This Week
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  • 2
    Scanopy

    Scanopy

    Clean network diagrams, One-time setup, zero upkeep

    Scanopy is a powerful multi-modal data capture and analysis toolkit that enables users to collect, process, and visualize structured and unstructured information from a variety of sources in a flexible pipeline. It is built to handle complex scanning tasks — such as OCR, document analysis, audio transcription, network data capture, and image extraction — while providing unified APIs and workflows that make managing heterogeneous data sources seamless. Developers can compose custom pipelines...
    Downloads: 3 This Week
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  • 3
    AeroFTP

    AeroFTP

    AeroFTP is a Cross-platform desktop client for FTP, SFTP, WebDAV, S3

    ...Security-first: AeroVault v2 encrypted containers (AES-256-GCM-SIV), Cryptomator support, and zero telemetry. Built-in AeroAgent AI assistant with 19 providers and 47 tools for file operations and workflow automation. Includes Monaco editor, terminal, AeroPlayer with 14 visualizers, AeroCloud sync, archive support, batch rename, and 47 languages. Full CLI (aeroftp-cli) with 32 subcommands, vault profiles, JSON output. AI agent ready. Platform status: - Linux: Stable (.deb, .rpm, .AppImage, .snap, AUR) - Windows: Stable (.msi, .exe, winget) - macOS: Beta (.dmg, not code-signed) Built with Rust (Tauri 2) + React 18. ...
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    Downloads: 45 This Week
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  • 4
    Amadeus

    Amadeus

    Harmonious distributed data analysis in Rust

    Amadeus is a high-performance, distributed data processing framework written in Rust, designed to offer an ergonomic and safe alternative to tools like Apache Spark. It provides both streaming and batch capabilities, allowing users to work with real-time and historical data at scale. Thanks to Rust’s memory safety and zero-cost abstractions, Amadeus delivers performance gains while reducing the complexity and bugs common in large-scale data pipelines. It emphasizes developer productivity through a fluent, expressive API and makes it easier to build composable and reliable data transformation pipelines without sacrificing speed or safety.
    Downloads: 1 This Week
    Last Update:
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