Showing 4 open source projects for "expect"

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    SuperTest

    SuperTest

    Super-agent driven library for testing node.js HTTP servers

    ...One thing to note, is that superagent now sends any HTTP error (anything other than a 2XX response code) to the callback as the first argument if you do not add a status code expect (i.e. .expect(302)). Expectations are run in the order of definition. This characteristic can be used to modify the response body or headers before executing an assertion.
    Downloads: 9 This Week
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  • 2
    stdlib

    stdlib

    Standard library for JavaScript and Node.js

    ...Comprehensively tested utilities for application and library development. Functions to assert, group, filter, map, pluck, and transform your data both in browsers and on the server. Everything you would expect from a modern standard library. Consistent interfaces combined with extensive documentation, examples, tests, and benchmarks. High-quality implementations so you can focus less on finding the right package and more on getting work done.
    Downloads: 10 This Week
    Last Update:
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  • 3
    Apexcharts.js

    Apexcharts.js

    Interactive JavaScript Charts built on SVG

    A modern JavaScript charting library that allows you to build interactive data visualizations with simple API and 100+ ready-to-use samples. Packed with the features that you expect, ApexCharts includes over a dozen chart types that deliver beautiful, responsive visualizations in your apps and dashboards. ApexCharts is an MIT-licensed open-source project that can be used in commercial and non-commercial projects. You can create a combination of different charts, sync them and give your desired look with unlimited possibilities. ...
    Downloads: 2 This Week
    Last Update:
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  • 4
    ConvNetJS

    ConvNetJS

    Deep learning in Javascript to train convolutional neural networks

    ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. ConvNetJS is an implementation of Neural networks, together with nice browser-based demos. It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify and...
    Downloads: 0 This Week
    Last Update:
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