| esbuild | vega | |
|---|---|---|
| 1 | 17 | |
| - | 10,856 | |
| - | 0.4% | |
| - | 8.2 | |
| - | 6 days ago | |
| JavaScript | ||
| - | BSD 3-clause "New" or "Revised" 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.
esbuild
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Why Is Esbuild Fast?
It is also all custom: https://github.com/esbuild/esbuild.github.io. YAML files that get converted to plain static HTML pages. It's designed to work well without any JavaScript. Even the animated graphs on the home page are done without JavaScript.
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.
What are some alternatives?
fork-ts-checker-webpack-plugin - Webpack plugin that runs typescript type checker on a separate process.
echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser
swc - Rust-based platform for the Web
Chart.js - Simple HTML5 Charts using the <canvas> tag
sucrase - Super-fast alternative to Babel for when you can target modern JS runtimes
Highcharts JS - Highcharts JS, the JavaScript charting framework
vite-ts-tailwind-starter - Opinionated Vite + Vue 3 + TypeScript + Tailwind CSS starter template w/ tests and CI.
d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
esbuild - An extremely fast bundler for the web
c3 - :bar_chart: A D3-based reusable chart library
Altair - Declarative statistical visualization library for Python
ggplot2 - An implementation of the Grammar of Graphics in R