D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example, you can use D3 to generate an HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.
D3 is not a monolithic framework that seeks to provide every conceivable feature. Instead, D3 solves the crux of the problem: efficient manipulation of documents based on data. This avoids proprietary representation and affords extraordinary flexibility, exposing the full capabilities of web standards such as HTML, SVG, and CSS. With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. D3’s functional style allows code reuse through a diverse collection of official and community-developed modules.
Based on our record, D3.js seems to be a lot more popular than DataGrip. While we know about 161 links to D3.js, we've tracked only 1 mention of DataGrip. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
DataGrip is a cross-platform integrated development environment (IDE) that supports multiple database environments. The most important thing to note about DataGrip is that it's developed by JetBrains, one of the leading brands for developing IDEs. If you have ever used PhpStorm, IntelliJ IDEA, PyCharm, WebStorm, you won't need an introduction on how good JetBrains IDEs are. - Source: dev.to / over 3 years ago
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... - Source: dev.to / about 1 month ago
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. - Source: dev.to / about 2 months ago
Yes this was done with a combination of GSAP Scrolltrigger https://gsap.com/docs/v3/Plugins/ScrollTrigger/ and https://d3js.org/. - Source: Hacker News / 3 months ago
d3 - very power visualization library enabling dynamic visualizations. docs. - Source: dev.to / 4 months ago
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... - Source: Hacker News / 5 months ago
DBeaver - DBeaver - Universal Database Manager and SQL Client.
Chart.js - Easy, object oriented client side graphs for designers and developers.
MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.
Plotly - Low-Code Data Apps
HeidiSQL - HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application