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ATLAS.ti VS Exploratory

Compare ATLAS.ti VS Exploratory and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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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.

Exploratory logo Exploratory

Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.
  • ATLAS.ti Landing page
    Landing page //
    2022-11-04
  • Exploratory Landing page
    Landing page //
    2023-09-12

ATLAS.ti videos

+ Add

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

Exploratory videos

+ Add

1.3 Exploratory, Descriptive and Explanatory Nature Of Research

More videos:

  • Review - Exploratory Process Content Review
  • Review - Reviewing Your Data Science Projects - Episode 1 (Exploratory Analysis)

Category Popularity

0-100% (relative to ATLAS.ti and Exploratory)

ATLAS.ti

Exploratory

Text Analytics
100 100%
Text Analytics
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Market Research
100 100%
Market Research
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using ATLAS.ti and Exploratory. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Exploratory seems to be more popular. It has been mentiond 6 times 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.

ATLAS.ti mentions (0)

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

Exploratory mentions (6)

  • Excel Never Dies
    I'm a happy customer of https://exploratory.io/ - it's a very user-friendly interface on top of R and I think you might find it helpful. - Source: Hacker News / almost 2 years ago
  • Fast Lane to Learning R
    If the goal here is becoming productive quickly, try https://exploratory.io/ which is a sort of WYSIWYG environment for R that will still let you code by hand if needed. No affiliation, just a happy customer for 2 years. - Source: Hacker News / almost 2 years ago
  • Excel 2.0 – Is there a better visual data model than a grid of cells?
    Give https://exploratory.io/ a look. It's free/cheap. It's a nice easy GUI wrapper for R and just works. I stumbled across it a year ago and now use it daily. - Source: Hacker News / about 2 years ago
  • Why no love for Exploratory Desktop?
    I'm not associated with the company, but I have used their product extensively and recommended it before. Is there a reason people do not recommend Exploratory Desktop compared to something like Tableau? It is free for public use, and can do almost anything Tableau does but faster: https://exploratory.io/. Source: about 2 years ago
  • A Quick Introduction to R
    I've been using https://exploratory.io/ a lot, which is r in a really nice wrapper where you can do everything point and click, by writing code by hand or a mix. - Source: Hacker News / about 2 years ago
View more

What are some alternatives?

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

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

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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.

NumPy - NumPy is the fundamental package for scientific computing with Python

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