Showing 4 open source projects for "large files"

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  • 1
    Czkawka

    Czkawka

    Multi functional app to find duplicates, empty folders, similar images

    Czkawka (Polish for “hiccup”) is a lightning‑fast, multi‑purpose file cleaning tool written in Rust. It helps users declutter storage by finding duplicate files, similar images or audio, empty folders, and unusually large files through CPU‑efficient multithreading. Available with both GUI (GTK‑based) and CLI versions for flexible usage.
    Downloads: 406 This Week
    Last Update:
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  • 2
    EasyTier

    EasyTier

    A simple, decentralized mesh VPN with WireGuard support

    EasyTier is a user-friendly file management tool for creating and managing tiered storage solutions, allowing users to offload rarely used files to alternative storage while keeping the system clean and efficient. Built for Windows, it helps users analyze disk usage, identify large or unused files, and move them to other volumes or cloud drives with minimal effort. Its intuitive interface and automation capabilities make it suitable for both personal and small business use, particularly when managing limited SSD space.
    Downloads: 27 This Week
    Last Update:
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  • 3
    Dufs

    Dufs

    A file server that supports static serving, uploading, searching

    Dufs is a compact Rust-based file server for sharing and managing files through a browser, command line, or WebDAV client. It can serve static content, upload files and folders, search directories, create or edit files, and package folders as downloadable archives. Transfers support resumable and partial uploads or downloads, which is useful for large files and unstable connections. Account-based rules provide read-only or read-write permissions for specific paths, including anonymous access when desired. ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    xsv

    xsv

    A fast CSV command line toolkit written in Rust

    xsv is a command line program for indexing, slicing, analyzing, splitting and joining CSV files. Commands should be simple, fast and composable. Simple tasks should be easy. Performance trade offs should be exposed in the CLI interface. Composition should not come at the expense of performance. Let's say you're playing with some of the data from the Data Science Toolkit, which contains several CSV files. Maybe you're interested in the population counts of each city in the world. ...
    Downloads: 0 This Week
    Last Update:
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