D3.js VS Simple Data API
Compare D3.js VS Simple Data API and see what are their differences
A simple way to keep all your data under control. Build your own business applications in just 4 minutes.
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D3.js
Chart.js
Highcharts
Plotly
Google Charts
AnyChart
RAWGraphs
CanvasJS
Simple Data API
Apiary
API MAKER
APIs With GitHub
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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. D3โs functional style allows code reuse through a diverse collection of official and community-developed modules.
Why you'll love it
Keep content control with non-technical teams while giving developers a stable endpoint they can depend on in production. โ
Non-technical teams who still need reliable live API updates for screens, campaigns, and product details without waiting on engineering sprint cycles. โ
Developers who want a stable endpoint without building client CMS tooling, while still receiving consistent structured JSON they can trust in production. โก
Publish updates in minutes with predictable schema controls, so business teams stay fast and developers avoid brittle one-off content handling layers. โ
Ship one secure endpoint to apps, ads, kiosks, and websites, then update live data centrally without code redeploys across every channel. โ
Not a no-code database platform built for complex relational modeling, table-heavy admin workflows, and broad internal operations management. โ
Not a traditional CMS focused on page rendering, editorial publishing calendars, and content templating for full website management.
Simple Data APINo Simple Data API videos yet. You could help us improve this page by suggesting one.
Simple Data API's answer:
specifically build for non technical users to control the frequency of their data and updates. Helps developers focus on the project, not the data.
Simple Data API's answer:
Easy to get started in minutes. Inexpensive and easy tool for the freelance toolkit. Client friendly, easy to edit, easy to share.
Simple Data API's answer:
The primary user is either A.) a non-technical person who needs to ship structured data to their webapp, page, or online tool. Or, B.) a web developer who doesn't need to develop a full CMS solution for a small amount of custom, frequently changing client data.
Simple Data API's answer:
As a webdev, I've built a lot of websites that were bloated with databases and content management just to update a few lines of text a few times a week. This solution give developers and easy to access dynamic endpoint, and keeps the client in control of their structured data in an easy to update form.
Simple Data API's answer:
next.js, typescript
Based on our record, D3.js seems to be more popular. It has been mentiond 175 times since March 2021. 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.
A third option for building stripes is a vector pattern employing D3. - Source: dev.to / 4 months ago
Libraries like D3.js (ISC license) and Chart.js (MIT license) render to SVG because charts need to be sharp at any zoom level and interactive โ tooltips on hover, clickable segments, animated transitions. A chart exported as PNG loses all of that. - Source: dev.to / 4 months ago
This is exactly the goal of the project-graph-generator project: scanning your sources to deduce a dependency graph and produce a simple HTML page using D3.js to display it. - Source: dev.to / 4 months ago
If you wanted to take this one step further, you could instead export the data and build an entire app around it using something like ApexCharts or D3 to create more interactive visualisations. You could even build a dashboard that tracks your performance over time across multiple races. Lots of interesting possibilities here as the data set is pretty rich. I highly recommend checking out the pyrox-client... - Source: dev.to / 5 months ago
That idea stuck with me: build the algorithm in a language where rendering the data structure is easy, then step through the construction visually. JavaScript and D3.js are a natural fit: the algorithm produces a tree, and D3 is very good at drawing trees. - Source: dev.to / 5 months ago
Chart.js - Easy, object oriented client side graphs for designers and developers.
Apiary - Collaborative design, instant API mock, generated documentation, integrated code samples, debugging and automated testing
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
API MAKER - Create your API in minutes with Notion
Plotly - Low-Code Data Apps
APIs With GitHub - Create simple JSON APIs with GitHub Repository