Based on our record, Plotly should be more popular than Mural. It has been mentiond 30 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.
Https://mural.co/ Mural has a free tier. I did not used it much but was nice. - Source: Hacker News / 9 months ago
How you formulate your research questions e.g. Research objective generation workshop and where you store and manage your backlog e.g. mural, miro, excel, uxbacklog. Source: about 1 year ago
Transparency of work. Whether youre using https://mural.co for collab analysis, usertesting so people can observe or something as simple as https://uxbacklog.co for a research backlog, giving visibility to the team really helps in building awareness and UR expectation but also gets UR in the pipeline / process. Source: about 1 year ago
For instance, mural.co is pretty good. However, it doesnt have the feature I described with which you can colapse knots od your mindmap. Source: over 1 year ago
Super early on in the brainstorming stage we'd use something like mural.co for the "ideating" stage and then quickly move to lucidchart for diagrams and early architecture. Source: over 1 year 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 / 17 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: over 1 year ago
Miro - Scalable, secure, cross-device and enterprise-ready team collaboration tool for distributed teams. Join 2M+ users & 8000+ teams from around the world.
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.
Figma - Team-based interface design, Figma lets you collaborate on designs in real time.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Stormboard - Stormboard empowers data-driven companies to turn their unstructured whiteboards into data-rich collaborative workspaces; enabling data-driven decisions and efficient processes — often eliminating the need for meetings entirely.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application