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Dataiku VS QualCoder

Compare Dataiku VS QualCoder and see what are their differences

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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
Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

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.
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • 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.

Dataiku

Website
dataiku.com
Pricing URL
Official Dataiku Pricing
$ Details
-
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999
Edit details

QualCoder

Website
qualcoder.wordpress.com
Pricing URL
-
$ Details
Release Date
2022 August
Edit details

Dataiku videos

+ Add

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

QualCoder videos

+ Add

QualCoder 1.9 desde el escritorio

More videos:

Category Popularity

0-100% (relative to Dataiku and QualCoder)

Dataiku

QualCoder

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

User comments

Share your experience with using Dataiku and QualCoder. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Dataiku and QualCoder

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....
Source: solutionsreview.com

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 Dataiku and QualCoder, you can also consider the following products

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

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

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

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.

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

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

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