Software Alternatives, Accelerators & Startups

Swift Selection Search VS ATLAS.ti

Compare Swift Selection Search VS ATLAS.ti and see what are their differences

Swift Selection Search logo Swift Selection Search

Swiftly access your search engines in a popup panel when you select text in a webpage.

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.
  • Swift Selection Search Landing page
    Landing page //
    2023-10-06
  • ATLAS.ti Landing page
    Landing page //
    2022-11-04

Swift Selection Search videos

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ATLAS.ti videos

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

Category Popularity

0-100% (relative to Swift Selection Search and ATLAS.ti)
Internet Search
100 100%
0% 0
Market Research
0 0%
100% 100
Web Search
100 100%
0% 0
Text Analytics
0 0%
100% 100

User comments

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What are some alternatives?

When comparing Swift Selection Search and ATLAS.ti, you can also consider the following products

Trufflepiggy - Quick Search - The all-in-one search addon: just select and search. Find on multiple websites at once. Search via overlay, context menu or omnibar. Featuring anonymous profiles. Easy setup: select from 1000+ user generated searches. Cross-browser sync.

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

ContextSearch web-ext - Search for selection with your browser's search engines via a pop-up.

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

Selection Search - With this extension you can easily search for text you have selected.

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.