Software Alternatives, Accelerators & Startups

Chart.js VS QualCoder

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

Chart.js logo Chart.js

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

QualCoder logo QualCoder

A very complete Free and Open Source Software (FOSS) Computer-Assisted Qualitative Data Analysis Software (CAQDAS) written in Python. It works with text, images, and multimedia such as audios and videos.
  • Chart.js Landing page
    Landing page //
    2023-03-13
  • QualCoder Landing page
    Landing page //
    2023-08-27

QualCoder is free, open source software for qualitative data analysis. You can code text, images, audio and video, write journal notes and memos. Categorise codes in a tree-like hierarchical categorisation scheme. Coding for audio and video requires the VLC media player. VLC must be installed for QualCoder to work. Coder comparison reports can be generated for text coding. A graph displaying codes and categories can be generated to visualise the coding hierarchy. Most reports can be exported at html, open document text (ODT) or as plain text files.

Chart.js videos

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

More videos:

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

QualCoder videos

QualCoder 1.9 desde el escritorio

More videos:

Category Popularity

0-100% (relative to Chart.js and QualCoder)
Charting Libraries
100 100%
0% 0
Market Research
0 0%
100% 100
Data Visualization
96 96%
4% 4
Text Analytics
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 Chart.js and QualCoder

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.
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

QualCoder Reviews

  1. The best open source alternative to paid CAQDAS

    QualCoder is one of the best CAQDAS I have used not just because it is free and open source but also because of the functionalities and constant improvements.

    🏁 Competitors: ATLAS.ti, NVivo
    👍 Pros:    Developer is responsive to feedback/requests and makes improvements|Easy to use|Advanced features
  2. Really good alternative to paid CAQDAS

    I really like using QualCoder 3.0 for its ease of use and intuitive interface.

    👍 Pros:    Easy to use|Intuitive|Easy merge of projects
    👎 Cons:    Only two hierarchies allowed for codes
  3. Efficient and powerful

    The software is efficient and powerful to perform the content analysis task. It allows you to follow the categories and classifications clearly. Facilitates thematic analysis. It is an excellent technology to implement a qualitative methodology. It is a 100% recommended software.

    🏁 Competitors: ATLAS.ti
    👍 Pros:    Free to use|Fast support|Information is easily accessible|Intuitive|Fast ui|Easy installation method|Easy user interface|Easy to get started and operate|Python
    👎 Cons:    None

Social recommendations and mentions

Based on our record, Chart.js seems to be more popular. It has been mentiond 1 time 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.

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

QualCoder mentions (0)

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

What are some alternatives?

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

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.

MAXQDA - a professional software for qualitative and mixed methods data analysis

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

ATLAS.ti - ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.

Plotly - Low-Code Data Apps

NVivo - Buy NVivo now for flexible solutions to meet your specific research and data analysis needs.