Showing 5 open source projects for "fat"

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  • 1
    Apisauce

    Apisauce

    Axios + standardized errors + request/response transforms

    Talking to APIs doesn't have to be awkward anymore. Low-fat wrapper for the amazing Axios HTTP client library. All responses follow the same flow: success and failure alike. Responses have a problem property to help guide exception flow, attach functions that get called each request, attach functions that change all request or response data. Detects connection issues (on React Native). The only required property is baseURL and it should be the starting point for your API.
    Downloads: 9 This Week
    Last Update:
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  • 2
    AlaSQL

    AlaSQL

    JavaScript SQL database for browser and Node.js for relational tables

    AlaSQL.js - JavaScript SQL database for browser and Node.js. Handles both traditional relational tables and nested JSON data (NoSQL). Export, store, and import data from localStorage, IndexedDB, or Excel. We focus on speed by taking advantage of the dynamic nature of JavaScript when building up queries. Real-world solutions demand flexibility regarding where data comes from and where it is to be stored. We focus on flexibility by making sure you can import/export and query directly on data...
    Downloads: 10 This Week
    Last Update:
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  • 3
    FATCALC-ImageJ is an ImageJ macro (fully automated) for unsupervised fat segmentation in magnetic resonance imaging. It was developed for GE T1 2-points Dixon sequences (fat only image). FATCALC independently evaluates the volumes of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT).
    Downloads: 1 This Week
    Last Update:
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  • 4
    AJAXSLT is an implementation of XSL-T in JavaScript, intended for use in fat web pages, which are nowadays referred to as AJAX applications. THIS PROJECT HAS BEEN RELOCATED TO http://code.google.com/p/ajaxslt/
    Downloads: 0 This Week
    Last Update:
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    Paessler: Easy to Use With Enterprise Power. Free Trial

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  • 5
    A three-tiered database application / framework for serious genealogy research, mainly using PostgreSQL and PHP. Based on Fat Server / Intelligent Middleware / Thin Client approach, with scalability and extendability as primary guidelines.
    Downloads: 0 This Week
    Last Update:
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