setup
d3
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setup | d3 | |
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2 | 277 | |
4 | 107,634 | |
- | 0.3% | |
3.2 | 8.0 | |
about 2 years ago | 21 days ago | |
Jinja | Shell | |
MIT License | ISC License |
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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.
setup
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Ask HN: Tips to get started on my own server
- Come up with ways to start and stop services and such
In the end, as you start to see patterns for all this, you will find it beneficial to script everything in some way so that you can easily reuse patterns and lessons on other servers and apps.
I tend to use Ansible for this, and here is a concrete example of all sorts of things you might find interesting: https://github.com/scancer-org/setup
This sets up a server, locks it down, adds a python app with a worker set and so on: https://github.com/scancer-org/setup
Good luck on your learning journey!
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How I made Python/Django Apps deploy themselves
Use Ansible. Here is an example of one of my Django apps’ setup scripts: https://github.com/scancer-org/setup
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?
dokku-dashboard - A GUI for Dokku hosted on Dokku
echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser
djangitos
GoJS, a JavaScript Library for HTML Diagrams - JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.
dokku-scheduler-kubernetes - Scheduler plugin for deploying applications to kubernetes
vis
appliku_start - Starter Template for Django apps
d4 - A friendly reusable charts DSL for D3
django-project-template - The Django project template I use, for installation with django-admin.
svg.js - The lightweight library for manipulating and animating SVG
redbeat - RedBeat is a Celery Beat Scheduler that stores the scheduled tasks and runtime metadata in Redis.
sigma.js - A JavaScript library aimed at visualizing graphs of thousands of nodes and edges