Software Alternatives & Reviews

XGBoost VS MAXQDA

Compare XGBoost VS MAXQDA and see what are their differences

XGBoost logo XGBoost

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.

MAXQDA logo MAXQDA

a professional software for qualitative and mixed methods data analysis
  • XGBoost Landing page
    Landing page //
    2023-07-30
  • MAXQDA Landing page
    Landing page //
    2023-09-13

XGBoost videos

XGBoost Part 3: Mathematical Details

More videos:

  • Review - XGBoost A Scalable Tree Boosting System June 02, 2016
  • Review - Free Udemy Course - CatBoost vs XGBoost - Classification and Regression Modeling with Python

MAXQDA videos

Literature Reviews with MAXQDA

More videos:

  • Review - Literature Reviews (Literaturrecherche) mit MAXQDA 2018
  • Review - Qualitative Data Analysis with MAXQDA (Intro Webinar)

Category Popularity

0-100% (relative to XGBoost and MAXQDA)
Data Science And Machine Learning
Market Research
0 0%
100% 100
Business & Commerce
100 100%
0% 0
Text Analytics
0 0%
100% 100

User comments

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Reviews

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

XGBoost Reviews

We have no reviews of XGBoost yet.
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MAXQDA Reviews

  1. A data analysis tool for business, government, and academic research projects

    The use of QDA software in social science research is so common that many people tend to see QDA software as a tool primarily for social science research. However, applications like MAXQDA are invaluable productivity tools for research analysts in industry or government as well.

    Remarkably scalable, MAXQDA employs a database architecture that can handle research projects ranging in size from several dozen pages to tens of thousands of pages. Many projects today involve identifying connections found among information stored in PDF, Powerpoint presentations, Word documents, photos, videos, and audio recordings. MAXQDA allows users to code relevant sections of each document, identify interrelationships among documents, build relationships among diverse sets of documents and identify thematic trends.

    MAXQDA features a simple 4 pane interface that makes it easy to use. The Document System- is where you place documents (text, images, video, or sound files) you want to analyse. The Document Browser is where you view the content of the document. The Coding System shows the various codes that you create and assign to documents. The Retrieved Segments Pane shows search results.

    🏁 Competitors: ATLAS.ti, NVivo, QDA Miner, HyperResearch, Quirkos

Social recommendations and mentions

Based on our record, XGBoost seems to be more popular. It has been mentiond 1 time 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.

XGBoost mentions (1)

  • CS Internship Questions
    By the way, most of the time XGBoost works just as well for projects, would not recommend applying deep learning to every single problem you come across, it's something Stanford CS really likes to showcase when it's well known (1) that sometimes "smaller"/less complex models can perform just as well or have their own interpretive advantages and (2) it is well known within ML and DS communities that deep learning... Source: almost 2 years ago

MAXQDA mentions (0)

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

What are some alternatives?

When comparing XGBoost and MAXQDA, 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.

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

Open Text Magellan - OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.

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.

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

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.