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
Dataiku
Scikit-learn
Pandas
NumPy
OpenCV
Exploratory
htm.java
WEKA
RQDA
MAXQDA
QualCoder
ATLAS.ti
NVivo
Taguette
Quirkos
Dedoose
Dataiku RQDABased on our record, RQDA seems to be more popular. It has been mentiond 4 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.
For eg- RQDA is a qualitative data analysis package wherein you could visualise themes etc. Check - https://nsuworks.nova.edu/cgi/viewcontent.cgi?article=2659&context=tqr Https://rqda.r-forge.r-project.org/. Source: over 1 year ago
Because we're on a statistics subreddit, I have to mention there are a handful of packages for doing qualitative work in R - RQDA, Q-Coder, some others - but I would not recommend it if you're not already familiar with R, or at least some programming language. There are graphical interfaces that will serve you well. Source: over 1 year ago
I’m not familiar with RQDA, but I’m assuming that you mean this. Source: over 1 year ago
You might be better off with using something like RQDA: https://rqda.r-forge.r-project.org/. It seems that it hasn’t been updated since 2016, but there might be other alternatives. Source: over 1 year ago
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.
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
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.