Plotly VS Quirkos
Compare Plotly 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.
Plotly QuirkosQuirkos'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, Plotly seems to be more popular. It has been mentiond 33 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.
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / about 2 months ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 4 months ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 6 months ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 11 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
MAXQDA - a professional software for qualitative and mixed methods data analysis
Chart.js - Easy, object oriented client side graphs for designers and developers.
NVivo - Buy NVivo now for flexible solutions to meet your specific research and data analysis needs.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
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.