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Voilà VS Chart.js

Compare Voilà VS Chart.js and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
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Voilà logo Voilà

Voilà turns Jupyter notebooks into standalone web applications.

Chart.js logo Chart.js

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

Voilà videos

+ Add

Voilà! Review - with Tom Vasel

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 Voilà and Chart.js)

Voilà

Chart.js

Developer Tools
100 100%
Developer Tools
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100
Web Frameworks
100 100%
Web Frameworks
0% 0
Data Visualization
0 0%
Data Visualization
100% 100

User comments

Share your experience with using Voilà 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 Voilà and Chart.js

Voilà Reviews

We have no reviews of Voilà 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, Voilà seems to be a lot more popular than Chart.js. While we know about 11 links to Voilà, 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.

Voilà mentions (11)

  • Evidence – Business Intelligence as Code
    > Works with CI/CD out of the box. Deploy to vercel, netlify, your own infra. Jupyter is suited for whatever you want to do with it. Voila exists to enable the use case of re-generating notebooks on a CI/CD system: https://github.com/voila-dashboards/voila Anyways, seems like the templating is more powerful than the one being offered by Jupyter Notebooks.... - Source: Hacker News / about 1 year ago
  • Warning, Streamlit collects a lot of data!
    I don't understand why everyone isn't just using voila. it's so much better than streamlit or gradio. But that's just my opinion I guess. Source: about 1 year ago
  • Mercury – Turn Python Notebooks to Web Apps
    Ill have to check it out and see how it compares to voilà and holoviz panel. What I like about Holoviz panel is you can create a data web app from code that resides in a notebook or create a completely standalone app from just plain py scripts, and it supports many different visualization backends. I have found it to be the more flexible and generalizable data web app framework among the others I have come... Source: about 1 year ago
  • Turn Jupyter Notebook to Web App with open-source Mercury framework and Python only
    Any insights what the differences between this and Voila are? Https://github.com/voila-dashboards/voila. Source: about 1 year ago
  • New library to develop streamlit apps in jupyter
    A nifty little alternative to voila, one might say. - Source: dev.to / over 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: almost 3 years ago

What are some alternatives?

When comparing Voilà and Chart.js, you can also consider the following products

Streamlit - Turn python scripts into beautiful ML tools

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.

Shiny - Shiny is an R package that makes it easy to build interactive web apps straight from R.

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

Streamsync - Streamsync is an open-source framework for creating data apps. Build user interfaces using a visual editor; write the backend code in Python.

Plotly - Low-Code Data Apps

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