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ATLAS.ti VS Annotations for Mac

Compare ATLAS.ti VS Annotations for Mac and see what are their differences

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ATLAS.ti logo 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.

Annotations for Mac logo Annotations for Mac

"Adding and managing notes to texts simplified"
  • ATLAS.ti Landing page
    Landing page //
    2022-11-04
  • Annotations for Mac Landing page
    Landing page //
    2019-07-03

ATLAS.ti videos

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Literature Review with ATLAS.ti 8 Windows and Mac (Jan. 25th, 2018)

More videos:

  • Review - Overview of ATLAS.ti 8 Windows April 10th, 2018
  • Review - Literature Review and Qualitative Data Analysis Using Atlas.ti by Muhammad Farooq Buzdar

Annotations for Mac videos

No Annotations for Mac videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to ATLAS.ti and Annotations for Mac)

ATLAS.ti

Annotations for Mac

Text Analytics
81 81%
Text Analytics
19% 19
Market Research
79 79%
Market Research
21% 21
Research Tools
79 79%
Research Tools
21% 21
Technical Computing
100 100%
Technical Computing
0% 0

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What are some alternatives?

When comparing ATLAS.ti and Annotations for Mac, you can also consider the following products

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

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

Taguette - A spin on the phrase "tag it!

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.

RQDA - RDQA is a R package for Qualitative Data Analysis, a free (free as freedom) qualitative analysis...

Quirkos - Quirkos is a simple qualitative analysis software tool that helps to sort, manage and understand text data. 

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