Software Alternatives, Accelerators & Startups

Plotly VS yEd

Compare Plotly VS yEd and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Plotly logo Plotly

Low-Code Data Apps

yEd logo 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.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • yEd Landing page
    Landing page //
    2022-07-16

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

yEd features and specs

  • User-Friendly Interface
    yEd offers a clean, intuitive interface that makes it easy for users to get started and create diagrams without a steep learning curve.
  • Versatile Diagram Types
    The software supports a wide range of diagram types including flowcharts, UML diagrams, network diagrams, and more, making it versatile for different needs.
  • Automatic Layouts
    yEd provides several powerful automatic layout algorithms that can quickly arrange complex diagrams into clear structures.
  • Cross-Platform
    yEd is compatible with multiple operating systems such as Windows, macOS, and Linux, providing flexibility for users across different platforms.
  • Free to Use
    yEd is free to download and use, which makes it an attractive option for individuals and organizations with budget constraints.

Possible disadvantages of yEd

  • Limited Collaboration Features
    yEd lacks built-in real-time collaboration features, which can be a disadvantage for teams needing to work simultaneously on the same diagram.
  • No Mobile Version
    There is no mobile version of yEd, which limits its usability for users who prefer creating diagrams on tablets or smartphones.
  • Steep Learning Curve for Advanced Features
    While the basic features are user-friendly, some of the more advanced functionalities can have a steep learning curve and may require time to master.
  • Limited Integration Options
    yEd does not offer extensive integration options with other productivity tools or software, which can be a drawback for users looking for a more connected workflow.
  • Occasional Performance Issues
    Users have reported occasional performance issues, especially when dealing with very large and complex diagrams.

Plotly videos

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

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

yEd videos

yEd Graph Editor in 90 seconds

More videos:

  • Tutorial - yED Graph Editor Tutorial - Make flowcharts, trees, graph Freeware.

Category Popularity

0-100% (relative to Plotly and yEd)
Data Visualization
100 100%
0% 0
Diagrams
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Flowcharts
0 0%
100% 100

User comments

Share your experience with using Plotly and yEd. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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.
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...
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.

yEd Reviews

Best 7 Free Online XMind Alternatives for Windows
Another excellent tool that you can use for common and complex visual illustration is yEd. This aims to help users in terms of creating diagrams like UML, flowcharts, network diagram, org chart, and other process illustrations. With this XMind free alternative, you will find every icon and symbol you need for the aforementioned diagrams. On the other hand, users are...
Source: gitmind.com
40 Open Source, Free and Top Unified Modeling Language (UML) Tools
yEd is a desktop application that can be used to quickly and effectively generate high-quality diagrams. Users can create diagrams manually, or import their external data for analysis. yEd’s automatic layout algorithms arranges even large data sets with just the press of a button. yEd is freely available and runs on all major platforms: Windows, Unix/Linux, and Mac OS X.With...

Social recommendations and mentions

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 mentions (33)

  • Python for Data Visualization: Best Tools and Practices
    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
  • Generative AI Powered QnA & Visualization Chatbot
    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
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    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
  • Essential Deep Learning Checklist: Best Practices Unveiled
    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
  • 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: over 1 year ago
View more

yEd mentions (0)

We have not tracked any mentions of yEd yet. Tracking of yEd recommendations started around Mar 2021.

What are some alternatives?

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

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.

draw.io - Online diagramming application

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

LucidChart - LucidChart is the missing link in online productivity suites. LucidChart allows users to create, collaborate on, and publish attractive flowcharts and other diagrams from a web browser.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

PlantUML - PlantUML is an open-source tool that uses simple textual descriptions to draw UML diagrams.