up
d3
up | d3 | |
---|---|---|
3 | 277 | |
8,771 | 107,679 | |
0.1% | 0.2% | |
0.0 | 8.0 | |
about 2 months ago | 9 days ago | |
Go | 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.
up
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Streamline Your Serverless Development with These Top 10 Powerhouse Tools
Apex is an open-source tool that makes it easy to build and deploy serverless applications on AWS. It's a great tool for any serverless developer, as it simplifies the process of building and deploying serverless applications, making it easier to focus on writing code.
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Ask HN: Does anyone else find the AWS Lambda developer experience poor?
I can also recommend serverless.com framework for local development and running lambdas offline.
AWS provides a docker image for emulating DynamoDB which works great for local dev and will commonly be paired with lambdas.
Another option I have used recently for implementing node web services is https://github.com/apex/up which also has a nice local dev experience.
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JavaScript Influencers to Follow in 2021🤩
Projects: apex/up, git-extras, koajs/koa, clibs/clib, commander.js
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?
Helmet - 🐺 A Lightweight Cloud Native API Gateway.
echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser
sst - Build modern full-stack applications on AWS
GoJS, a JavaScript Library for HTML Diagrams - JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.
goku_lite - A Powerful HTTP API Gateway in pure golang!Goku API Gateway (中文名:悟空 API 网关)是一个基于 Golang开发的微服务网关,能够实现高性能 HTTP API 转发、服务编排、多租户管理、API 访问权限控制等目的,拥有强大的自定义插件系统可以自行扩展,并且提供友好的图形化配置界面,能够快速帮助企业进行 API 服务治理、提高 API 服务的稳定性和安全性。
vis
faasd - A lightweight & portable faas engine
d4 - A friendly reusable charts DSL for D3
aws-lambda-runtime-interface-emulator
svg.js - The lightweight library for manipulating and animating SVG
serverless-patterns - Serverless patterns. Learn more at the website: https://serverlessland.com/patterns.
sigma.js - A JavaScript library aimed at visualizing graphs of thousands of nodes and edges