mxGraph VS Plotly

mxGraph

mxGraph is a fully client side JavaScript diagramming library - jgraph/mxgraph

Plotly

Low-Code Data Apps

Landing page //
2023-09-07

Landing page //
2023-07-31

mxGraph Made Easy 3

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

Category Popularity

0-100% (relative to mxGraph and Plotly)

Plotly

Javascript UI Libraries

100 100%

Javascript UI Libraries

0% 0

Data Visualization

0 0%

Data Visualization

100% 100

Flowcharts

100 100%

Flowcharts

0% 0

Data Dashboard

0 0%

Data Dashboard

100% 100

User comments

Share your experience with using mxGraph and Plotly. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare mxGraph and Plotly

mxGraph Reviews

20+ JavaScript libraries to draw your own diagrams (2022 edition)

mxGraph uses no third-party software, it requires no plugins and can be integrated into virtually any framework. The mxGraph package contains a client software, written in JavaScript, and a series of backends for various languages. The client software is a graph component with an optional application wrapper that is integrated into an existing web interface. The client...

Source: modeling-languages.com

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]

Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.

Source: www.datapad.io

5 Best Python Libraries For Data Visualization in 2023

Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.

Source: www.technotification.com

Top 8 Python Libraries for Data Visualization

Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...

Source: www.geeksforgeeks.org

5 top picks for JavaScript chart libraries

Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than mxGraph. While we know about 29 links to Plotly, we've tracked only 2 mentions of mxGraph. 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.

mxGraph mentions (2)

Process Analytics - March 2022 News
It is possible to use the new API to retrieve the bpmn-visualization and mxGraph versions used at runtime: getVersion(). - Source: dev.to / about 2 years ago
mxGraph usage in TypeScript projects
This article is the first one of a series about mxGraph, the Javascript diagramming library. - Source: dev.to / almost 3 years ago

Plotly mentions (29)

Python equivalent to power bi/power query?
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago
Junior Developer asked to make Saaas in first month.
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 12 months ago
PSA: You don't need fancy stuff to do good work.
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: 12 months ago
Wait, but I thought they were the same thing?
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: about 1 year ago
Storing your data in a Plotly Dash data dashboard
Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago

What are some alternatives?

When comparing mxGraph and Plotly, you can also consider the following products

GoJS - GoJS is a JavaScript library for building interactive diagrams on HTML web pages. Build apps with flowcharts, org charts, BPMN, UML, modeling, and other visual graph types.

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.

Konva - Konva is 2d Canvas JavaScript framework for drawings shapes, animations, node nesting, layering, filtering, event handling, drag and drop and much more.

Chart.js - Easy, object oriented client side graphs for designers and developers.

jsPlumb - jsPlumb is an advanced, standards-compliant and easy to use JS library for building connectivity based applications, such as flowcharts, process flow diagrams, sequence diagrams, organisation charts, etc. More than just a diagram library.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

mxGraph vs Highcharts