vega
d3
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vega | d3 | |
---|---|---|
17 | 277 | |
10,847 | 107,634 | |
0.6% | 0.3% | |
8.2 | 8.0 | |
5 days ago | 16 days ago | |
JavaScript | Shell | |
BSD 3-clause "New" or "Revised" 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.
vega
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Show HN: Minard – Generate beautiful charts with natural language
Hi HN – Excited to share a beta for Minard, a new data visualization toolkit we've been working on that lets you generate publication-quality charts with simple natural language (throw away your matplotlib docs and rejoice!).
Upload or import CSVs, Excel, and JSON, give it a spin, and please let us know what you think! (Long format data works best for now)
For those curious, the stack is a simple Django app with HTMX/Alpine and all of the charts are specified and rendered as Vega (https://vega.github.io/vega/). Lots of LLM function calling under the hood as well.
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Plotting XGBoost Models with Elixir
I recently added support for plotting XGBoost models using Vega (https://vega.github.io/vega/) into the XGBoost Elixir API (https://github.com/acalejos/exgboost).
Since EXGBoost supports loading trained models across different APIs, you can even train using the Python API and then plot using this Elixir API if you prefer.
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[OC] Most In-Demand Programming Languages from Jan-2022 to Jun-2023
The Data Source is from devjobsscanner (I am basically the owner, so I have the data) an the tool used to make the chart is Vega
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If you had to pick a library from another language (Rust, JS, etc.) that isn’t currently available in Python and have it instantly converted into Python for you to use, what would it be?
It’s based on Vega https://vega.github.io/vega/ which means it’s an already matured backend. Vega-lite is the Javascript package and Altair is the Python.
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Does anyone know how to get Visio experience while in between jobs?
Site:: https://vega.github.io/vega/
- Ask HN: What do you use for basic data analysis, visuals, and graphing?
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Launched my ADHD productivity app on product hunt - would love your support
Eh, I have no reason to, and not much interest in PHP anymore. Things like Vega seem really cool.
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[OC] Salaries Distribution by Programming Languages in 2022
This chart is make with Vega (and also all the charts from the article). Data source is from devjobsscanner and contains about 10 Million dev jobs offers, which only a small subset contain salary information thought.
- Angular + Line Chart
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Simple plotting/graphing crate suggestions
Not that I'm working on it, but I'd love to see a vega stack in rust.
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?
echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser
Chart.js - Simple HTML5 Charts using the <canvas> tag
GoJS, a JavaScript Library for HTML Diagrams - JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.
Highcharts JS - Highcharts JS, the JavaScript charting framework
vis
c3 - :bar_chart: A D3-based reusable chart library
d4 - A friendly reusable charts DSL for D3
Altair - Declarative statistical visualization library for Python
svg.js - The lightweight library for manipulating and animating SVG
ggplot2 - An implementation of the Grammar of Graphics in R
sigma.js - A JavaScript library aimed at visualizing graphs of thousands of nodes and edges