LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
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RQDA
MAXQDA
QualCoder
ATLAS.ti
NVivo
Taguette
Quirkos
Dedoose
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
RQDABased on our record, NumPy seems to be a lot more popular than RQDA. While we know about 109 links to NumPy, we've tracked only 4 mentions of RQDA. 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
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 1 day ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
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.
OpenCV - OpenCV is the world's biggest computer vision library
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.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.