nbviewer.org VS Quirkos
Compare nbviewer.org VS Quirkos and see what are their differences
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Quirkos makes qualitative analysis visual and intuitive, with our live bubble interface. Bring in all sorts of text data, code, explore and analyse. Visual reports and detailed outputs let you see trends in your data and share findings. You can learn in 20 minutes, and with our cheap licences work across any platform, even in your browser. Download a 14 day free trial today, and discover for yourself.
nbviewer.org QuirkosQuirkos is recommended for educators, small research teams, independent researchers, and students who need accessible and efficient qualitative data analysis software. It's especially beneficial for those new to qualitative analysis or those who prefer visual learning and data organization.
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Quirkos's answer:
Quirkos is simple and intuitive - our design means you can prioritise getting on with your research, over learning a complex tool. This makes it a great first qualitative software package for students or academics/professionals new to CAQDAS, and much easier to incorporate into time-sensitive projects. Quirkos also prioritises its cross-platform and collaborative capabilities, with its Cloud subscription enabling you to use the software from any device and edit projects in real-time with others.
Quirkos' AI transcription add-on, Quirkos Transcribe, is highly accurate and prioritises the security of user data, making it the best option for automatically transcribing sensitive data. The transcription service is run in-house by us, all data is end-to-end encrypted and data is never shared with third parties or used for AI training. The transcription server is even solar-powered, making it eco-friendly too!
Quirkos's answer:
Since 2013, we've been led by qualitative researchers and have had the goal of creating user-friendly, affordable qualitative software for all researchers. We were dissatisfied with the user experience of other qualitative packages, and knew we could design a better experience that is quicker to learn, more enjoyable to use, and prioritises the researcher's active engagement with their data.
Quirkos's answer:
Quirkos is aimed at any qualitative researcher or research team who needs to organise and analyse long-form text data. The software excels with supporting projects that require in-depth qualitative analysis, as it is designed to keep the analyst in touch with their data. As Quirkos is so flexible in design, it's a great choice for researchers in a wide variety of disciplines (particularly across social sciences and market research) and analytical frameworks (including grounded theory, thematic analysis, and IPA). It can analyse text data from qualitative surveys, focus groups, interviews, books and articles, and can even transcribe speech from audio and video.
Due to its simplicity, Quirkos is particularly helpful for first-time qualitative researchers, or researchers who are new to qualitative software. And thanks to its student discount, Quirkos is ideal for students, whether fulfilling a tight assignment deadline or completing a thesis. If you buy our offline licence as a student, you don't have to upgrade after you graduate - it's yours forever!
Based on our record, nbviewer.org seems to be more popular. It has been mentiond 13 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.
Example notebooks are included in the repo and can be previewed using nbviewer:. Source: over 2 years ago
Nbviewer (https://nbviewer.org/): very easy to use for smaller jupyter notebook that does not require heavy rendering. Source: over 2 years ago
Nbconvert renders everything exactly as it looks in your notebook app into a read-only HTML version and is what GitHub uses for notebooks. Interactive plots from Bokeh, Holoviews, etc can still work if you trust the JS, and since editing notebooks while showing them during a meeting usually doesn't go well, read-only is probably good enough (eager to hear feedback on this point though). The nice thing is that... Source: over 2 years ago
Just as a heads up, I used plotly to generate a lot of the charts, so you'll need to view it from an nbviewer like nbviewer.org. Source: about 3 years ago
I used a lot of plotly not knowing that Github wouldn't show it, so you'll need notebook viewer like nbviewer.org to see some of the charts. Source: about 3 years ago
Livebook - Automate code & data workflows with interactive Elixir notebooks
MAXQDA - a professional software for qualitative and mixed methods data analysis
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
NVivo - Buy NVivo now for flexible solutions to meet your specific research and data analysis needs.
nteract - nteract is a desktop application that allows you to develop rich documents that contain prose...
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.