Onboard new engineers quicker with an explorable model of your system design. Help everyone understand your complex system architecture using a lightweight visual approach to modelling; linked to resources in the real world.
IcePanel might be a bit more popular than Plotly. We know about 35 links to it since March 2021 and only 30 links to Plotly. 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://icepanel.io/ The best I've ever used. - Source: Hacker News / about 2 months ago
I use UML quite a bit but it's never really what I'm after, somnething more modern and fluid and gui driven that more people can use. Icepanel [1] looks really cool but I haven't tested it and I'm not sure it really fits my use case. It seems like it's mostly for api driven rpc/grpc/rest services when I kind of want to use it to visualize backend/infra/terraform sort of things. Might be interesting to you. [1] -... - Source: Hacker News / 4 months ago
1. We started using https://icepanel.io/ for microservices, Software, anything thats documentable for later read. 2. More diagrams, less key strokes 3. We have dedicated page owners on confluence, its mix of engineers, leaders, PM's, QA etc. - Source: Hacker News / 4 months ago
The best tool for writing C4 documentation I have seen so far is https://icepanel.io/. - Source: Hacker News / 8 months ago
I really like the C4 model as part of a larger toolset. If you’re also using it then I recommend looking at https://icepanel.io/ Great tooling strongly based on C4, I use it a lot. - Source: Hacker News / 8 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 / 13 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
draw.io - Online diagramming application
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.
Structurizr - Structurizr is a workspace editor that creates software architecture diagrams and documentation based on the C4 model.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Terrastruct - A diagramming tool for software architecture
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application