Software Alternatives, Accelerators & Startups

Dimensions Toolkit VS D3.js

Compare Dimensions Toolkit VS D3.js and see what are their differences

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Dimensions Toolkit logo Dimensions Toolkit

Chrome Extension for designers to test responsive websites.

D3.js logo D3.js

D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
  • Dimensions Toolkit Landing page
    Landing page //
    2022-12-13
  • D3.js Landing page
    Landing page //
    2023-07-11

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.

Dimensions Toolkit features and specs

  • Comprehensive Data
    Dimensions Toolkit offers a wide range of data analytics tools designed to support various research fields, allowing users to access and analyze diverse datasets efficiently.
  • User-Friendly Interface
    The platform provides an intuitive user interface, making it easier for researchers and analysts to navigate and utilize its features without requiring extensive technical expertise.
  • Customizable Reports
    Users can generate highly customizable reports that cater to specific research needs, ensuring that the output aligns with individual project requirements.

Possible disadvantages of Dimensions Toolkit

  • Access Restrictions
    Some advanced features or data sets might be restricted to premium users or specific institutions, limiting the accessibility for all users.
  • Learning Curve
    New users or those not familiar with data analysis tools might experience a steep learning curve when trying to make full use of the platform's offerings.
  • Website Availability
    The website appears to be currently unavailable, which might indicate ongoing site issues or temporary suspension affecting user access and functionality.

D3.js features and specs

  • Powerful Visualization
    D3.js allows for the creation of highly customized and interactive data visualizations, harnessing the full power of web standards like SVG, Canvas, and HTML.
  • Data Binding
    It offers robust support for data-driven transformations and binding, enabling intuitive connections between data sets and DOM elements.
  • Community and Ecosystem
    A large and active community contributes to tutorials, plugins, and tools, which can significantly simplify the development process.
  • Flexibility
    D3.js is highly flexible, providing low-level manipulation capabilities without being tied to any specific chart types or patterns.
  • Performance
    It is highly optimized for performance, allowing for efficient rendering of complex visualizations even with large data sets.

Possible disadvantages of D3.js

  • Steep Learning Curve
    D3.js has a steep learning curve due to its low-level nature and requires a solid understanding of JavaScript, DOM manipulation, and data concepts.
  • Complexity
    Creating complex visualizations can be time-consuming and require a significant amount of custom code, making it less approachable for quick, simple tasks.
  • Browser Compatibility
    Although widely supported, some D3.js features may have inconsistent behavior across different browsers, requiring additional testing and debugging.
  • Documentation
    While extensive, D3.js documentation can be challenging for beginners to navigate and understand, causing misunderstandings and slower development times.
  • Dependency Management
    The library itself is modular, but managing dependencies and integrating D3.js with other JavaScript frameworks or libraries can sometimes be problematic.

Dimensions Toolkit videos

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D3.js videos

Data Visualization with D3.js - Full Tutorial Course

More videos:

  • Review - Let's learn D3.js - D3 for data visualization (full course)

Category Popularity

0-100% (relative to Dimensions Toolkit and D3.js)
Design Tools
100 100%
0% 0
Charting Libraries
0 0%
100% 100
Website Builder
100 100%
0% 0
Data Visualization
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Dimensions Toolkit and D3.js

Dimensions Toolkit Reviews

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D3.js Reviews

6 JavaScript Charting Libraries for Powerful Data Visualizations in 2023
Depending on your requirements, the best JavaScript library is D3.js, as it’s by far the most customizable. However, it’s also really complex and difficult to master. Plus, it’s not as compatible with TypeScript as it is with JavaScript, which can be off-putting for some developers. If you’d prefer a less complex library that you can use with TypeScript, ECharts, and...
Source: embeddable.com
15 JavaScript Libraries for Creating Beautiful Charts
When we think of charting today, D3.js is the first name that comes up. Being an open source project, D3.js definitely brings many powerful features that were missing in most of the existing libraries. Features like dynamic properties, Enter and Exit, powerful transitions, and syntax familiarity with jQuery make it one the best JavaScript libraries for charting. Charts in...
Top 20 Javascript Libraries
D3 stands for Data-Driven Documents. With D3, you can apply data-driven transformations to DOM objects. The keyword with D3 is ‘data-driven,’ which means documents are manipulated depending on the data received. Data can be received in any format and bound with DOM objects. D3 is very fast and supports dynamic behavior for animation and interactions. There are plenty of...
Source: hackr.io
20+ JavaScript libraries to draw your own diagrams (2022 edition)
D3.js is a JavaScript library for manipulating documents based on data. Right now, I would say is the most popular library of its kind.
15 data science tools to consider using in 2021
Another open source tool, D3.js is a JavaScript library for creating custom data visualizations in a web browser. Commonly known as D3, which stands for Data-Driven Documents, it uses web standards, such as HTML, Scalable Vector Graphics and CSS, instead of its own graphical vocabulary. D3's developers describe it as a dynamic and flexible tool that requires a minimum amount...

Social recommendations and mentions

Based on our record, D3.js seems to be more popular. It has been mentiond 167 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.

Dimensions Toolkit mentions (0)

We have not tracked any mentions of Dimensions Toolkit yet. Tracking of Dimensions Toolkit recommendations started around Mar 2021.

D3.js mentions (167)

  • IO Devices and Latency
    Do you mean something for data visualization, or tricks condensing large data sets with cursors? https://d3js.org/ Best of luck =3. - Source: Hacker News / about 2 months ago
  • 2024 Nuxt3 Annual Ecosystem Summary🚀
    Document address: D3.js Official Document. - Source: dev.to / 4 months ago
  • 100+ Must-Have Web Development Resources
    D3.js: One of the most popular JavaScript visualization libraries. - Source: dev.to / 7 months ago
  • What are npm Peer Dependencies and how to use them?
    A Dependency is an npm package that our code depends on in order to be able to run. Some popular packages that can be added as dependencies are lodash, D3, and chartjs. - Source: dev.to / 7 months ago
  • Introducing RacingBars 📊
    RacingBars is an open-source, light-weight (~45kb gzipped), easy-to-use, and feature-rich javascript library for bar chart race, based on D3.js. - Source: dev.to / 9 months ago
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What are some alternatives?

When comparing Dimensions Toolkit and D3.js, you can also consider the following products

One Click Test - Tool for quickly testing your design layout in one click.

Chart.js - Easy, object oriented client side graphs for designers and developers.

Flexbox Grid - Grid based on CSS3 flexbox

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

W3C Mobile Checker - Make websites work better on mobile devices

Plotly - Low-Code Data Apps