RQDA is a popular one, but can’t handle data in video or audio format. It can be used with other R packages for visualization and combination of qualitative and quantitative methods.

I don’t know much about AQUAD, but is supposedly easier to use than RQDA.

Hmm... it's quite difficult to understand what Atlas TI does from the webpage.

The user manual can be found here: http://downloads.atlasti.com/docs/manual/atlasti_v8_manual_en.pdf?_ga=2.87687320.1483353533.1531744072-1428862095.1531744072

It's pretty buzzword-dense.

It feels pretty close Exploratory Data Analysis

This tool looks like a collection of data organisation tools, statistical tools, text processing tools and visualisation tools glued together with a particular use case in mind.

This tends not to be how open source tools work, rather than having a monolithic domain specific tools you get a bunch of components that you glue together with general purpose programming languages (see the unix philosophy).

This has upsides: you can do more things, you aren't locked into tools, you can swap out components etc etc. But it has downsides in terms of:

• Hackiness - everything just about works

• Needing to know more programming (though this is partly alleviated by things like stack exchange and reddit)

• Learning overhead.

I personally think it is is a lot more fun than trying to understand people's buzzwordy manuals and makes you feel more powerful. But for one off applications it can be more work.

Specific suggestions

I imagine what you might like is a collection of tools that you can glue together for this sort of things.

• R is the de facto language used by academic statisticians as well as people who work in finance. It has good libraries for plotting - and you might be able to find libraries for some textual analysis. You might like to use something like R-studio which is a pretty gui wrapping R.

• Grafana is quite a nice point and click data exploration tool which is analagous to splunk. It allows some basic ordering of data sets, but I imagine it is a little less convenient than what Atlas might provide

• A relational database like postgres could be used for storing "metadata" about how data relates to one another and querying it. This might be a bit fixed for what you are after. In truth I think files might be good enough - it is often what people end up using in practice.

• You might be interested in something like jupyter / ipython-notebook

My experience with domain specific / pretty tools for niche use cases is that someone tends to write them for their PhD / Masters course and then they get abandoned because the overhead of understanding them is too high and people would prefer to use the tools which they are familiar with. There are some open source tools for this sort of thing. I think this might be a market failure of open source. No one cares about your use case rather they care about their use case and you get to reuse their work. Open source tool tends to consist of tools that programmers write for themselves and other programmers rather than tools they write for end users - particularly when you move away from the mainstream.