plotly.js
d3
plotly.js | d3 | |
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40 | 277 | |
16,536 | 107,679 | |
0.5% | 0.2% | |
9.9 | 8.0 | |
6 days 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.
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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.
plotly.js
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Ask HN: What's the best charting library for customer-facing dashboards?
Plotly is based on D3. Has both open-source version and paid option.
https://plotly.com/javascript/
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Build Your Own Uptime Monitor with MeteorJS + Fetch + Plotly.js ☄️🔭
Plotly as our chart renderer
- FLaNK Stack Weekly 19 Feb 2024
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Using Plotly.js with React
In this lesson, we will go through the steps of using Plotly.js in React. Plotly.js is an Open Source Graphing Library. At the end of this lesson, you should be able to do a simple plot with Plotly.js.
- Open-source JavaScript charting library behind Plotly and Dash
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Ask HN: What packages can be used to create interactive mathematics simulations?
Well, MathML[1] support is (nearly) everywhere now, and as the docs say:
MathML Core is a subset with increased implementation details based on rules from LaTeX and the Open Font Format. It is tailored for browsers and designed specifically to work well with other web standards including HTML, CSS, DOM, JavaScript.
I don't have a lot of experience working with this stuff (yet) but if you can script your MathML objects with Javascript, you should be able to make whatever interactive "stuff" you want in terms of math notation. Now drawing objects and plots and stuff is a different question.
There's stuff like Plotly[2], D3[3], Sigma[4], etc. that might be useful depending on exactly what effects you're going for.
[1]: https://developer.mozilla.org/en-US/docs/Web/MathML
[2]: https://github.com/plotly/plotly.js
[3]: https://d3js.org/
[4]: https://www.sigmajs.org/
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Using Plotly.js with Angular
This is the end of the lesson. For more information on Plotly.js, check the documentation Plotly.
- 10 highly effective BI dashboards that you can build with Python
- Flask chart and rss feed
- What chart libraries are ‘modern’?
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?
echarts4r - 🐳 ECharts 5 for R
echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser
calendar-heatmap - 📊 Calendar heatmap graph
GoJS, a JavaScript Library for HTML Diagrams - JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.
superset - Apache Superset is a Data Visualization and Data Exploration Platform
vis
react-vis - Data Visualization Components
d4 - A friendly reusable charts DSL for D3
dash-mantine-components - Plotly Dash components based on Mantine React Components
svg.js - The lightweight library for manipulating and animating SVG
kedro-viz - Visualise your Kedro data and machine-learning pipelines and track your experiments.
sigma.js - A JavaScript library aimed at visualizing graphs of thousands of nodes and edges