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socketify.py
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.
Quirkos socketify.pyQuirkos 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, socketify.py seems to be more popular. It has been mentiond 2 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.
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
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