Showing 4 open source projects for "jpk data processing"

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  • 1
    Jimp

    Jimp

    An image processing library written entirely in JavaScript for Node

    An image processing library for Node written entirely in JavaScript, with zero native dependencies. If you're using this library with TypeScript the method of importing slightly differs from JavaScript. Instead of using require, you must import it with ES6 default import scheme. If you're using a web bundles (webpack, rollup, parcel) you can benefit from using the module build of jimp. Using the module build will allow your bundler to understand your code better and exclude things you aren't...
    Downloads: 4 This Week
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  • 2
    Tesla

    Tesla

    The flexible HTTP client library for Elixir

    The flexible HTTP client library for Elixir, with support for middleware and multiple adapters. Tesla is an HTTP client loosely based on Faraday. It embraces the concept of middleware when processing the request/response cycle. Define module with use Tesla and choose from a variety of middleware. Tesla is built around the concept of composable middlewares. This is very similar to how Plug Router works. All HTTP functions, such as Tesla.get/3 and Tesla.post/4, can take a dynamic client as the...
    Downloads: 1 This Week
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  • 3
    RESTinio

    RESTinio

    HTTP/WebSocket server C++14 library

    ...Async request handling. Cannot get the response data immediately? That's ok, store the request handle somewhere and/or pass it to another execution context and get back to it when the data is ready.
    Downloads: 0 This Week
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  • 4
    AIOHTTP

    AIOHTTP

    Asynchronous HTTP client/server framework for asyncio and Python

    ...A long awaited new feature is tracing client request life cycle to figure out when and why client request spends a time waiting for connection establishment, getting server response headers etc. Now it is possible by registering special signal handlers on every request processing stage. The main change is dropping yield from support and using async/await everywhere. Farewell, Python 3.4. You often want to send some sort of data in the URL’s query string. If you were constructing the URL by hand, this data would be given as key/value pairs in the URL after a question mark, e.g. httpbin.org/get?key=val. Requests allows you to provide these arguments as a dict, using the params keyword argument. aiohttp internally performs URL canonicalization before sending request.
    Downloads: 0 This Week
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