Showing 4 open source projects for "use case"

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  • 1
    ipfs-api-mount

    ipfs-api-mount

    Mount IPFS directory as local FS

    Mount IPFS directory as local FS. go-ipfs daemon has this function but as of version 0.9.1 it's slow. ipfs-api-mount aims to be more efficient. For sequential access to random data it's ~3 times slower than ipfs cat but also ~20 times faster than cating files mounted by go-ipfs. It's supposed that FS mounted by go-ipfs daemon is slow because of file structure being accessed in every read. By adding caching one can improve performance a lot. Apart from mounting one specified CID you can also...
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  • 2
    OkDownload

    OkDownload

    A reliable, flexible, fast and powerful download engine

    In fact OkDownload is FileDownloader2, which extends all benefits from FileDownloader and beyond. FileDownloader framework is not easy to write unit-test, it is not a testable framework, so it is not stable enough. The core library of FileDownloader is too complex and not pure enough, so 6K+ star 1K+ fork with around 10 PR. Unit test coverage is very high which means reliable. Simpler interface. Task priority support. Uri file to store output-stream. The core library is Pure and light. More...
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  • 3
    FileDownloader

    FileDownloader

    Android multi-task file download engine

    A reliable, flexible, fast and powerful download engine. Simple use case such as start and cancel, download queue or get state or task info. The advanced use case such as set max parallel running count, set remit database delay milliseconds or injection components. FileDownloader is multitask, multi thread (multi connection), breakpoint-resume, high-concurrency, simple to use, single/not single-process.
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  • 4
    PHP CRUD

    PHP CRUD

    Create, Read, Update & Delete Indexed Flat-File Records via PHP

    PHP CRUD allows us to quickly add an indexed, record-centric, flat-file, database to our projects. Optional Base64 encoding ensures that newlines & other special characters can be used without penalty. (Today many say that "CRUD" stands for "Create Retrieve Update and Delete." While fine for an SQL mindset, many old-timers got used to the acronym standing for "Create READ Update Delete" way back in the 1970's. Indeed, the term dates back even farther than ISAM. ... See the project web...
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    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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