Software Alternatives, Accelerators & Startups

ATLAS.ti VS Apache cTAKES

Compare ATLAS.ti VS Apache cTAKES and see what are their differences

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.

Apache cTAKES logo Apache cTAKES

Natural Language Processing (NLP)
  • ATLAS.ti Landing page
    Landing page //
    2022-11-04
  • Apache cTAKES Landing page
    Landing page //
    2023-09-02

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

Apache cTAKES videos

Apache cTAKES: First Principles and Customization

More videos:

  • Review - Secret Engines of Apache cTAKES
  • Review - Apache cTAKES and Python; Apache cTAKES High Throughput Orchestration

Category Popularity

0-100% (relative to ATLAS.ti and Apache cTAKES)
Market Research
100 100%
0% 0
NLP And Text Analytics
0 0%
100% 100
Text Analytics
100 100%
0% 0
Spreadsheets
0 0%
100% 100

User comments

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What are some alternatives?

When comparing ATLAS.ti and Apache cTAKES, you can also consider the following products

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

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

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

Amazon Comprehend - Discover insights and relationships in text

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.

Google Cloud Natural Language API - Natural language API using Google machine learning