degit
d3
degit | d3 | |
---|---|---|
22 | 277 | |
6,673 | 107,679 | |
- | 0.2% | |
0.0 | 8.0 | |
3 months ago | 10 days ago | |
JavaScript | Shell | |
MIT License | ISC License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
degit
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CMake and Git Submodules: More Advanced Cases
But what I'd like to do at this point to tie a bow on the whole thing, once you've made any customizations you feel necessary, is commit the whole thing as a degit template. This will help you reuse your template across many happy projects in the future!
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Building a multilingual NextJS app using the new app directory
The easiest way to follow this guide is to degit a Nextjs boilerplate.
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What do you use to easily setup new projects?
There's a tool for history-less cloning: https://github.com/Rich-Harris/degit
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Add an Options Page to Chrome Extension
The easiest way is to use degit.
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Invoking React components from your Ember apps
Here I am using degit to bootstrap our Ember app since the ember-cli doesn't allow you to create a new Ember app in the name of app.
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Advice on migrating from multirepo to monorepo
Instead of starting from the idea of adopting a monorepo, you probably want to start from your pain points and work backwards from there. Standardizing on initial setup can be done w/ scaffolding tools (e.g. degit). Standardizing on configuration can be done w/ libraries (we do this for eslint, jest, etc). After-the-fact alignment can be done w/ codemods (e.g. jscodeshift) and PR tracking tools (IIRC sourcegraph has an offering like this).
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Apexlang: Project Templates with Code Generators
Tools like yeoman, degit, and cargo generate kept me happy for years. They add basic templating capabilities to the standard git clone but they stop there. You’ll be hard pressed to find tools that go beyond setting up a directory structure.
- How do I preview a front-end project on Github without downloading the repo and setting up a local server (at least not manually)?
- Svelte - The First Four Magic Words
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Create Beautiful Charts with Svelte and Chart js
You could use codesandbox for your initial setup or create a local svelte application using the degit tool. Open a new terminal and run the following command:
d3
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A visual guide to Vision Transformer – A scroll story
Yes this was done with a combination of GSAP Scrolltrigger https://gsap.com/docs/v3/Plugins/ScrollTrigger/ and https://d3js.org/
- Ask HN: Tips to get started on my own server
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Full Stack Web Development Concept map
d3 - very power visualization library enabling dynamic visualizations. docs
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Observable 2.0, a static site generator for data apps
Yep, Evidence is doing good work. We were most directly inspired by VitePress; we spent months rewriting both D3’s docs (https://d3js.org) and Observable Plot’s docs (https://observablehq.com/plot) in VitePress, and absolutely loved the experience. But we wanted a tool focused on data apps, dashboards, reports — observability and business intelligence use cases rather than documentation. Compared to Evidence, I’d say we’re trying to target data app developers more than data analysts; we offer a lot of power and expressiveness, and emphasize custom visualizations and interaction (leaning on Observable Plot or D3), as well as polyglot programming with data loaders written in any language (Python, R, not just SQL).
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Using Deno with Jupyter Notebook to build a data dashboard
D3.js: A robust library to visualize your data and create interactive data-driven visualizations.
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What is the technology stack used to create these live charts?
They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options.
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Animated map showing frequency and location of births around the world [OC]
I made this interactive visualization that attempts to show the real-time frequency and location of births around the world. A country’s annual births (i.e. the country’s population times its birthrate) were distributed across all of the populated locations in each country, weighted by the population distribution (i.e. more populated areas got a greater fraction of the births). Data Sources and Tools Population and birthrate data for 2023 was obtained from Wikipedia (Population and birth rates). Population distribution across the globe was obtained from Socioeconomic Data and Applications Center (sedac) at Columbia University. Data is processed and visualized at a 1 degree x 1 degree resolution, each of which has a different probability of a birth occurring in a specific time period. D3.js was used to create the map elements and html, css and javascript were used to create the user interface.
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How do you implement library types?
When I go to the homepage of types/d3 the only hint for any kind of documentation is what seems to be the main github page of d3. It's highly possible I'm missing something here, so sorry if I am but I can't find any documentation of how you are supposed to type these library objects.
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The top 11 React chart libraries for data visualization
Website: D3.js official site
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Frontend development roadmap
D3js
What are some alternatives?
npx - npm package executor
echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser
Svelte - Cybernetically enhanced web apps
GoJS, a JavaScript Library for HTML Diagrams - JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.
yeoman - Yeoman - a set of tools for automating development workflow
vis
svelte-component-ts
d4 - A friendly reusable charts DSL for D3
Visual Studio Code - Visual Studio Code
svg.js - The lightweight library for manipulating and animating SVG
template - Template for building basic applications with Svelte
sigma.js - A JavaScript library aimed at visualizing graphs of thousands of nodes and edges