apexcharts.js
d3
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apexcharts.js | d3 | |
---|---|---|
32 | 277 | |
13,831 | 107,634 | |
1.3% | 0.3% | |
9.3 | 8.0 | |
4 days ago | 19 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.
apexcharts.js
- Show HN: A JavaScript library for data visualization in both SVG and Canvas
- ApexCharts
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Learn SVG with 25 examples â How to code images in HTML
As a frontend dev who also works in UX and graphics from time to time, I find it helpful to be able to do both, looking at SVGs as both a vector graphics format and a human-readable XML. IME the workflow depends more on whether any SVG is meant to be illustrative (like art) or quantitative (like charts) or interactive and animated/mutable (like a game).
For something like this bell example (https://svg-tutorial.com/svg/bell), you can certainly hand-code it if you're really math-inclined and can estimate the formulas of curves just by looking at them, but for us mere mortals, it's easier to just draw out the curves in a graphics app then export as an SVG. And for things like the ringer (is that what you call it? the orange ball thing at the bottom of the bell that strikes the bell to make the sound), being able to visually draw it on a canvas, change its size, drag it around and play with its colors and dimensions, etc. is really helpful. Figma is fine for simpler graphics, but it's really more of a UX tool than a graphic design tool, and Illustrator is a lot more powerful. Inkscape is a FOSS option.
In other circumstances, though, manipulating the SVG XML directly is also very helpful. Let's say you want to programatically generate a bar chart. If you have a big dataset, it's going to take a designer forever to manually plot them and change them every time the data changes. But it's easy for a dev to use Javascript (or any language) to draw each rectangle, programmatically adjust their heights and colors based on the data, add tooltips, etc. And that way you can dynamically update them in real-time whenever the data changes (like if the user selects a different date range, or new events come in). A lot of this is made easier by libs like https://frappe.io/charts or https://apexcharts.com. But before you take that approach, you should know that for complex charts, sometimes Canvas rendering (or just generating graphics in the backend) can be more performant than SVG.
SVGs can also be animated and interactive, not just with CSS transitions but by directly manipulating the XML geometries, like http://snapsvg.io/demos/ or https://www.svgator.com/ or https://codepen.io/collection/XpwMLO/. This is fine for product pages and such, but for really graphics-intensive apps (full games) it's probably slower than other rendering pipelines. (Not my specialty, won't speculate too much.)
TLDR Drawing them in a graphics app is usually easier for the designers, but the XML can be programmatically manipulated afterward to great effect.
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Level Up Your Web App with Stunning React Charts: Introducing the Top 10 React Charts Libraries
ApexCharts is a modern charting library that helps developers to create beautiful and interactive visualizations for web pages. It is an open-source project licensed under MIT and is free to use in commercial applications.
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Selling OTM 0DTE is Free Money?
tradingview.com for the chart... but also apexcharts.com is a decent open source library whereas TV is not open source
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Charting libraries for Vue3 with zoom capabilities?
ApexCharts: https://apexcharts.com/ Easy integration with Vue.
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Top 5+ useful ReactJS Plugins for 2023
1. Apex Charts
- [TREAD] Il existe 1 980 000 000 de sites Web sur Internet dans le monde. Mais seule une fraction dâentre eux peut vous aider Ă devenir un meilleur dĂ©veloppeur Web et Ă accĂ©lĂ©rer votre travail. Voici 10 sites qui valent la peine dâĂȘtre connus đ
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[AskJS] React libs with charts
we're using https://apexcharts.com/ in production and are reasonably satisfied with it
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What libraries should I use to recreate a UI like this?
Check out https://apexcharts.com/
d3
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A visual guide to Vision Transformer â 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 D3âs docs (https://d3js.org) and Observable Plotâs docs (https://observablehq.com/plot) in VitePress, and absolutely loved the experience. But we wanted a tool focused on data apps, dashboards, reports â observability and business intelligence use cases rather than documentation. Compared to Evidence, Iâd say weâre 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 countryâs annual births (i.e. the countryâs 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?
echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser
recharts - Redefined chart library built with React and D3
GoJS, a JavaScript Library for HTML Diagrams - JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.
visx - đŻ visx | visualization components
vis
nivo - nivo provides a rich set of dataviz components, built on top of the awesome d3 and React libraries
d4 - A friendly reusable charts DSL for D3
DHTMLX Gantt - GPL version of Javascript Gantt Chart
svg.js - The lightweight library for manipulating and animating SVG
victory - A collection of composable React components for building interactive data visualizations
sigma.js - A JavaScript library aimed at visualizing graphs of thousands of nodes and edges