eazychart VS d3

Compare eazychart vs d3 and see what are their differences.

eazychart

EazyChart is a reactive chart library 📈, it allows you to easily add SVG charts in your React and Vue web applications. (by Hexastack)

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada: (by d3)
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eazychart d3
2 281
19 108,148
- 0.3%
6.3 7.2
2 months ago 11 days ago
TypeScript Shell
MIT License ISC License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

eazychart

Posts with mentions or reviews of eazychart. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-02.

d3

Posts with mentions or reviews of d3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-07-14.
  • Issue 007 -- Surviving the AI Era
    6 projects | dev.to | 14 Jul 2024
    Built on Recharts, which is based on D3.
  • Top 20 Javascript Libraries on Github
    20 projects | dev.to | 13 Jun 2024
    Repository: D3.js
  • Navigating the Data Jungle. Data Analysis Software: A Comprehensive Guide
    2 projects | dev.to | 6 Jun 2024
    Data Visualization Software is designed to help users create visual representations of their data. These tools are often used to create charts, graphs, and other visualizations that can help users understand their data better. Some popular Data Visualization Software includes Tableau, Power BI, and D3.js. Tableau and Power BI are both powerful data visualization tools, while D3.js is a JavaScript library for creating interactive data visualizations in the web browser. In summary, there are several types of data analysis software available, each with its own strengths and weaknesses. Statistical Analysis Systems are ideal for users who need to perform complex statistical analysis, while Business Intelligence Tools are designed to help users make better business decisions. Data Visualization Software is ideal for users who need to create visual representations of their data.
  • Implementing GraphRAG for Query-Focused Summarization
    3 projects | dev.to | 16 May 2024
    Interactive User Interface: Developing an interactive UI for visualizing the graph and its communities could make the summarization process more intuitive. Tools like D3.js or Cytoscape.js can be used to create dynamic visualizations.
  • A visual guide to Vision Transformer – A scroll story
    1 project | news.ycombinator.com | 16 Apr 2024
    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
    19 projects | news.ycombinator.com | 25 Mar 2024
  • Full Stack Web Development Concept map
    11 projects | dev.to | 23 Mar 2024
    d3 - very power visualization library enabling dynamic visualizations. docs
  • Observable 2.0, a static site generator for data apps
    17 projects | news.ycombinator.com | 15 Feb 2024
    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).
  • Using Deno with Jupyter Notebook to build a data dashboard
    5 projects | dev.to | 17 Jan 2024
    D3.js: A robust library to visualize your data and create interactive data-driven visualizations.
  • What is the technology stack used to create these live charts?
    2 projects | /r/learnprogramming | 10 Dec 2023
    They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options.

What are some alternatives?

When comparing eazychart and d3 you can also consider the following projects:

amcharts4 - The most advanced amCharts charting library for JavaScript and TypeScript apps.

echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser

carbon-charts - :bar_chart: :chart_with_upwards_trend:⠀Robust dataviz framework implemented using D3 & typescript

GoJS, a JavaScript Library for HTML Diagrams - JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.

oligrapher - JavaScript app for displaying annotated network graphs based on data from LittleSis

vis

structurae - Data structures for high-performance JavaScript applications.

d4 - A friendly reusable charts DSL for D3

svg.js - The lightweight library for manipulating and animating SVG

sigma.js - A JavaScript library aimed at visualizing graphs of thousands of nodes and edges

paper.js - The Swiss Army Knife of Vector Graphics Scripting – Scriptographer ported to JavaScript and the browser, using HTML5 Canvas. Created by @lehni & @puckey

fabric.js - Javascript Canvas Library, SVG-to-Canvas (& canvas-to-SVG) Parser

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub helps you find the best software and product alternatives
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