DuckieTV - A web application built with AngularJS to track your favorite tv-shows with semi-automagic torrent integration

•    Javascript

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DuckieTV is an application that takes care of TV-Show addicts by providing a personalized TV-Show calendar. DuckieTV makes sure the information is always up-to-date and gives you an integrated blocking-resistant torrent search to help you get to the right download as easy as possible. With the integrated DuckieTorrent client you can connect DuckieTV to your local Torrent client and be updated on the download progress without switching applications. Support is available for clients of µTorrent/BitTorrent, Aria2, BiglyBT, Deluge, Ktorrent, qBittorrent, rTorrent, Tixati, Transmission and Vuze.

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npm-run-all - A CLI tool to run multiple npm-scripts in parallel or sequential.

•    Javascript

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A CLI tool to run multiple npm-scripts in parallel or sequential. This npm-run-all package provides 3 CLI commands.

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gulp - The streaming build system

•    Javascript

---

This file will give you a taste of what gulp does. Node already supports a lot of ES2015, to avoid compatibility problem we suggest to install Babel and rename your gulpfile.js as gulpfile.babel.js.

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eon - An open-source chart and map framework for realtime data.

•    Shell

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This is the repository for the compiled EON framework, including eon-chart and eon-map. This repository contains gh-pages and gulp tasks to compile the full EON framework. Each module has it's own repository and documentation found below.

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uPlot - 📈 A small, fast chart for time series, lines, areas, ohlc & bars

•    Javascript

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μPlot is a fast, memory-efficient Canvas 2D-based chart for plotting time series, lines, areas, ohlc & bars; from a cold start it can create an interactive chart containing 150,000 data points in 135ms, scaling linearly at ~25,000 pts/ms. In addition to fast initial render, the zooming and cursor performance is by far the best of any similar charting lib; at ~35 KB, it's likely the smallest and fastest time series plotter that doesn't make use of context-limited WebGL shaders or WASM, both of which have much higher startup cost and code size. However, if you need 60fps performance with massive streaming datasets, uPlot can only get you so far. WebGL should still be the tool of choice for applications like realtime signal or waveform visualizations: See danchitnis/webgl-plot, huww98/TimeChart, epezent/implot, or commercial products like LightningChart®.

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node-influx - 📈 The InfluxDB Client for Node.js and Browsers

•    TypeScript

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For browsers, see the browser setup instructions. Version 3.x.x is compatible with InfluxDB 0.8.x - 3.x will no longer have updates by core contributers, please consider upgrading.

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Medusa - Automatic Video Library Manager for TV Shows

•    Python

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Before using this with your existing database (sickbeard.db) please make a backup copy of it and delete any other database files such as cache.db and failed.db if present We HIGHLY recommend starting out with no database files at all to make this a fresh start but the choice is at your own risk. A full list can be found here. Jackett is supported, however it must be configured as follows.

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SickChill - Automatic Video Library Manager for TV Shows

•    Python

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SickChill is an automatic Video Library Manager for TV Shows. It watches for new episodes of your favorite shows, and when they are posted it does its magic: automatic torrent/nzb searching, downloading, and processing at the qualities you want. It can notify Kodi, XBMC, Growl, Trakt, Twitter, WDTV and more when new episodes are available.

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ReactNative-Animation-Challenges - A series of animation challenges in React Native.

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A series of animation challenges in React Native.

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kubernetes-101 - Kubernetes 101 - by Jeff Geerling

•    HTML

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A YouTube live streaming series and book by Jeff Geerling. This repository contains code examples from the series and the code that powers the Kubernetes 101 website.

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react-layered-chart - A high-performance canvas-based time series visualization in React.

•    TypeScript

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A high-performance canvas-based time series visualization in React.

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p-waterfall - Run promise-returning & async functions in series, each passing its result to the next

•    Javascript

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Returns a Promise that is fulfilled when all promises returned from calling the functions in tasks are fulfilled, or rejects if any of the promises reject. The fulfilled value is the value returned from the last task.Functions are expected to return a value. If a Promise is returned, it's awaited before continuing with the next task.

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show-time - Watch TV shows and movies with a simple CLI

•    Javascript

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Those steps are optional, you can just run show-time and skip the feed option, you'll be in "Browse mode" by default. Binding arbitrary free ports and not playing video means you can run the command as many times as you want.

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async-series - Standalone async.series() function

•    Javascript

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Run a series of callbacks in sequence, as simply as possible.More or less equivalent to async.series - solely for the sake of keeping some modules tiny for browserify.

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slayer - JavaScript time series spike detection for Node

•    Javascript

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JavaScript time series spike detection for Node.js; like the Octave findpeaks function.Time series are often displayed as bar, line or area charts. A peak or spike in a time series is a the highest value before the trend start to decrease.

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run-series - Run an array of functions in series

•    Javascript

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Run the functions in the tasks array in series, each one running once the previous function has completed. If any functions in the series pass an error to its callback, no more functions are run, and callback is immediately called with the value of the error. Otherwise, callback receives an array of results when tasks have completed.This module is basically equavalent to async.series, but it's handy to just have the functions you need instead of the kitchen sink. Modularity! Especially handy if you're serving to the browser and need to reduce your javascript bundle size.

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run-waterfall - Run an array of functions in series, each passing its results to the next function

•    Javascript

---

Runs the tasks array of functions in series, each passing their results to the next in the array. However, if any of the tasks pass an error to their own callback, the next function is not executed, and the main callback is immediately called with the error.This module is basically equavalent to async.waterfall, but it's handy to just have the functions you need instead of the kitchen sink. Modularity! Especially handy if you're serving to the browser and need to reduce your javascript bundle size.

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stream-series - Merge streams and emit in order

•    Javascript

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Emits events from streams in series.

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p-each-series - Iterate over promises serially

•    Javascript

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Useful as a side-effect iterator. Prefer p-map if you don't need side-effects, as it's concurrent.Returns a Promise that is fulfilled when all promises in input and ones returned from iterator are fulfilled, or rejects if any of the promises reject. The fulfillment value is the original input.

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p-series - Run promise-returning & async functions in series

•    Javascript

---

If you're doing the same work in each function, use p-each-series instead.See p-all for a concurrent counterpart.

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