LucidChart
draw.io
OmniGraffle
yEd
Gliffy
PlantUML
Dia
Visio
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
LucidChart
PlotlyPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Based on our record, Plotly should be more popular than LucidChart. It has been mentiond 34 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.
I'm thinking something like a lucidchart.com set up, but also wondering since one project is complete if there is anything that can just analyze an existing codebase and automatically do the work for me. Source: over 4 years ago
Oh! excalidraw.com is great for quick paper style diagrams. I have used it a fair bit. The roam integration is good. But I always revert back to draw.io because it's open sourced, simple to use and just works :D If you are looking for more, a paid option would be lucidchart.com. Source: over 4 years ago
You could try lucidchart.com or draw.io. I have used both. Source: over 5 years ago
Otherwise, you may be thinking about a "mind-map" of sorts... Simply to show relationships? Diagrams.net, lucidchart.com. Source: over 5 years ago
What is difference between Yours tool and others like arcentry.com lucidchart.com cloudcraft.co hava.io ? Would be nice to support diagrams as code ( generated from kubernetes states, terraform, pulumi, etc..) Personally I dont think that another diagram tool can beat ^ platforms. Source: over 5 years ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
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 / over 1 year 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 / over 1 year 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 / 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 / about 2 years 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.
OmniGraffle - OmniGraffle is for creating precise graphics like website wireframes, an electrical system designs, or mapping out software class.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
yEd - yEd is a free desktop application to quickly create, import, edit, and automatically arrange diagrams. It runs on Windows, Mac OS X, and Unix/Linux.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.