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Vega-Lite VS Chart.js

Compare Vega-Lite VS Chart.js and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Vega-Lite logo Vega-Lite

High-level grammar of interactive graphics

Chart.js logo Chart.js

Easy, object oriented client side graphs for designers and developers.
  • Vega-Lite Landing page
    Landing page //
    2019-09-21
  • Chart.js Landing page
    Landing page //
    2023-03-13

Vega-Lite videos

+ Add

Vega-Lite: A Grammar of Interactive Graphics

Chart.js videos

+ Add

1.3: Graphing with Chart.js - Working With Data & APIs in JavaScript

More videos:

  • Tutorial - How to Build Ionic 4 Apps with Chart.js

Category Popularity

0-100% (relative to Vega-Lite and Chart.js)

Vega-Lite

Chart.js

Data Dashboard
13 13%
Data Dashboard
87% 87
Charting Libraries
7 7%
Charting Libraries
93% 93
Data Visualization
10 10%
Data Visualization
90% 90
Developer Tools
100 100%
Developer Tools
0% 0

User comments

Share your experience with using Vega-Lite and Chart.js. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Vega-Lite and Chart.js

Vega-Lite Reviews

We have no reviews of Vega-Lite yet.
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Chart.js Reviews

6 JavaScript Charting Libraries for Powerful Data Visualizations in 2023
Of the free libraries on this list, ECharts has the widest range of chart types available, second only to D3. Unlike D3, ECharts also ranks highly on the user-friendliness scale, although some users find ApexCharts and Chart.js even easier to use. You can check out some examples of basic charts on ECharts.
Source: embeddable.com
5 top picks for JavaScript chart libraries
Chart.js is a chart library that is available as a client-side JavaScript package. There are also derivatives for other frontend frameworks, like React, Vue, and Angular. It displays the chart on an HTML canvas element.
Source: blog.logrocket.com
Top 10 JavaScript Charting Libraries for Every Data Visualization Need
Chart.js is a simple yet quite flexible JavaScript library for data viz, popular among web designers and developers. It’s a great basic solution for those who don’t need lots of chart types and customization features but want their charts to look neat, clear and informative at a glance.
Source: hackernoon.com
A Complete Overview of the Best Data Visualization Tools
Chart.js uses HTML5 Canvas for output, so it renders charts well across all modern browsers. Charts created are also responsive, so it’s great for creating visualizations that are mobile-friendly.
Source: www.toptal.com
The Best Data Visualization Tools - Top 30 BI Software
Chart.js is better for smaller chart projects. It’s open source and small in size, supporting six different types of charts: bar, line, pie, radar, doughnut, and polar. You can also add or remove any of these 6 types to reduce your footprint. Chart.js uses HTML5 Canvas and ships with polyfills for IE6/7 support. Chart.js offers the ability to create simple charts quickly.
Source: improvado.io

Social recommendations and mentions

Based on our record, Vega-Lite seems to be a lot more popular than Chart.js. While we know about 23 links to Vega-Lite, we've tracked only 1 mention of Chart.js. 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.

Vega-Lite mentions (23)

  • Show HN: I made first declaritive SVG,canvas framework
    We use the slightly simpler vega-lite from the same group. It typically gets us 98% of the way there quite quickly. Its from the same team, just a more simple wrapper around D3. https://vega.github.io/vega-lite/. - Source: Hacker News / 16 days ago
  • Ask HN: What's the best charting library for customer-facing dashboards?
    I like Vega-Lite: https://vega.github.io/vega-lite/ It’s built by folks from the same lab as D3, but designed as “a higher-level visual specification language on top of D3” [https://vega.github.io/vega/about/vega-and-d3/] My favorite way to prototype a dashboard is to use Streamlit to lay things out and serve it and then use Altair [https://altair-viz.github.io/] to generate the Vega-Lite plots in Python. Then if... - Source: Hacker News / 2 months ago
  • Gnuplotlib: Non-Painful Plotting for NumPy
    I also have difficulties with Gnuplot and Matplotlib. I like Vega that allows me to create visualisations in a declarative way. If I really need something special I go with d3.js, which had a really steep learning curve but with ChatGPT it should have become easier for beginners. [1] https://vega.github.io/vega-lite/. - Source: Hacker News / 5 months ago
  • Elixir Livebook is a secret weapon for documentation
    To ensure you do not miss this: LiveBook comes with a Vega Lite integration (https://livebook.dev/integrations -> https://livebook.dev/integrations/vega-lite/), which means you get access to a lot of visualisations out of the box, should you need that (https://vega.github.io/vega-lite/). In the same "standing on giant's shoulders" stance, you can use Explorer (see example LiveBook at... - Source: Hacker News / 11 months ago
  • Observable Plot: The JavaScript library for exploratory data visualization
    Nice, would be nice to have it integrated in GitHub markdown. Looks similar to Vega or Vega-lite(https://vega.github.io/vega-lite/). Definitely as rich as D3.js but gets the job done for simple visualisations. - Source: Hacker News / about 1 year ago
View more

Chart.js mentions (1)

  • Chart library for Svelte?
    Https://chartjs.org works well, but you have to call the update function yourself if you want to do some reactive updates. Source: about 3 years ago

What are some alternatives?

When comparing Vega-Lite and Chart.js, you can also consider the following products

Observable - Interactive code examples/posts

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.

Vega Visualization Grammar - Visualization grammar for creating, saving, and sharing interactive visualization designs

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

Plotly - Low-Code Data Apps

picasso.js - Turn boring data into a visual masterpiece using picasso.js, an open-source library from Qlik.

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