Software Alternatives, Accelerators & Startups

Glances VS QualCoder

Compare Glances VS QualCoder and see what are their differences

Glances logo Glances

The single customer view you have always wanted is here. Unify your apps in an easy-to-use customer view that provides real-time data from within any app that you are using. In minutes, securely connect your apps and eliminate tab switching.

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.
  • Glances Landing page
    Landing page //
    2022-05-05

The single customer view you have always wanted is here. Glances unifies your apps in a simplified, easy-to-use customer view that provides real-time data from within any app that you are using. In minutes, securely connect your apps and eliminate tab switching, searching, and clicking around to find important information.

Do the hustle without the hassle

Finding customer information within multiple programs is the hassle that ruins your workflow hustle. Glances brings your favorite online apps together, securely showing your customer data in a single view from whatever app you are using.

An integration the way it should be

It’s like iPaaS, but without the pain. Not time consuming, expensive, or untrustworthy. Glances is a new way to do integrations with a true no-code approach; no data syncing or scheduling jobs. See how it takes just minutes to connect your apps and start using a simplified customer view with Glances.

Glances is designed to support any application that provides an industry standard API, including custom applications. Here is a sample of some of the supported applications:

  • Monday.com
  • Salesforce
  • QuickBooks
  • Pipedrive
  • Slack
  • Shopify
  • Zendesk
  • Stripe
  • Mailchimp
  • Intercom
  • JIRA
  • SugarCRM
  • Zoho
  • Constant Contact
  • Freshdesk
  • Freshsales
  • SuiteCRM
  • Groove
  • DreamFactory
  • Gmail
  • Outlook 365
  • and many more
  • 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.

Glances

$ Details
paid $12.0 / Monthly (per user)
Platforms
Browser Slack Microsoft Teams Salesforce Firefox Google Chrome Internet Explorer
Release Date
2020 April

QualCoder

Pricing URL
-
$ Details
Platforms
-
Release Date
2022 August

Glances features and specs

  • Single Customer View: Yes
  • Integrations: Yes
  • Real time sync: Yes
  • Cross-platform support: Yes
  • No Coding Skills Required: Yes
  • Fast Performance: Yes
  • Secure: Yes
  • Free Trial: Yes

QualCoder features and specs

No features have been listed yet.

Glances videos

Meet Glances, a New Way to Integrate

More videos:

  • Review - Linux Tools: Monitoring & Troubleshooting Basics with Glances
  • Review - Glances: Remote System Monitoring From Any Device
  • Review - Glances - Terminal-Based System Monitoring Tool

QualCoder videos

QualCoder 1.9 desde el escritorio

More videos:

Category Popularity

0-100% (relative to Glances and QualCoder)
Data Dashboard
100 100%
0% 0
Market Research
0 0%
100% 100
Monitoring Tools
100 100%
0% 0
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 Glances and QualCoder

Glances Reviews

We have no reviews of Glances yet.
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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

What are some alternatives?

When comparing Glances and QualCoder, you can also consider the following products

htop - htop - an interactive process viewer for Unix. This is htop, an interactive process viewer for Unix systems. It is a text-mode application (for console or X terminals) and requires ncurses. Latest release: htop 2.

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

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

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.

GNOME System Monitor - System Monitor is a tool to manage running processes and monitor system resources.

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