Showing 4 open source projects for "table"

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    Host LLMs in Production With On-Demand GPUs

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  • 1
    dysk

    dysk

    A linux utility to get information on filesystems, like df but better

    dysk is a Rust command-line utility for inspecting mounted filesystems on Linux and macOS. It is designed as a more flexible alternative to traditional tools such as df. The default view presents filesystem information in a readable table that can be customized with selected columns. Users can filter and sort results to focus on relevant disks or mount points. Structured output is available in JSON and CSV for scripts and automated workflows. Its filesystem-discovery logic is provided by the reusable lfs-core Rust crate. The project was previously called lfs and includes dedicated documentation for installation and advanced usage.
    Downloads: 3 This Week
    Last Update:
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  • 2
    SlateDB

    SlateDB

    A cloud native embedded storage engine built on object storage

    ...To mitigate high write API costs (PUTs), SlateDB batches writes. Rather than writing every put() call to object storage, MemTables are flushed periodically to object storage as a string-sorted table (SST). The flush interval is configurable. To mitigate write latency, SlateDB provides an async put method.
    Downloads: 2 This Week
    Last Update:
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  • 3
    TeleDrive

    TeleDrive

    Unlimited Telegram MTProto personal cloud storage with zero monthly fe

    TeleDrive is an open-source, high-performance desktop virtual filesystem client that turns your private Telegram storage channels into an encrypted, unthrottled, unlimited personal cloud drive. Unlike traditional cloud providers (Google Drive, Dropbox, iCloud) that charge recurring monthly subscriptions ($10–$20/mo) for storage you never truly own, TeleDrive connects directly to Telegram’s global MTProto datacenters with zero intermediate relay servers and zero hosting costs. Key...
    Downloads: 6,535 This Week
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  • 4
    xsv

    xsv

    A fast CSV command line toolkit written in Rust

    ...So grab the data and start examining it. The next thing you might want to do is get an overview of the kind of data that appears in each column. The stats command will do this for you. The xsv table command takes any CSV data and formats it into aligned columns using elastic tabstops. These commands are instantaneous because they run in time and memory proportional to the size of the slice (which means they will scale to arbitrarily large CSV data).
    Downloads: 0 This Week
    Last Update:
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