Software Alternatives, Accelerators & Startups
Register | Login

PySimpleGUI VS Plotly

Compare PySimpleGUI VS Plotly and see what are their differences

JackHamr
AI agents that spec, build, test, and ship code โ€” with voice chat, deep GitHub integration, and zero LLM markup. featured
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.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

PySimpleGUI logo PySimpleGUI

A simple to use GUI that can create custom GUIs

Plotly logo Plotly

Low-Code Data Apps
  • PySimpleGUI Landing page
    Landing page //
    2023-08-18
  • Plotly Landing page
    Landing page //
    2023-07-31

PySimpleGUI features and specs

  • Ease of Use
    PySimpleGUI is designed to be easy to use for beginners, with a simpler API compared to other GUI frameworks like Tkinter or PyQt. This reduces the learning curve for new users.
  • Cross-Platform Compatibility
    The library runs on multiple platforms including Windows, macOS, and Linux, allowing developers to write code that works across different environments.
  • Simplified Codebase
    PySimpleGUI abstracts the complexity of GUI programming, allowing developers to create graphical interfaces with less code, which can improve readability and reduce development time.
  • Integration with Other Frameworks
    PySimpleGUI can work on top of tkinter, Qt, WxPython, and Remi, thus giving users the flexibility to switch between underlying frameworks with minimal code changes.
  • Community Support
    The project is open source with active community support and frequent updates, which helps in getting assistance and improvements consistently.

Possible disadvantages of PySimpleGUI

  • Limited Advanced Features
    While PySimpleGUI is excellent for simple applications, it may lack advanced features required for complex GUI applications compared to more comprehensive frameworks like PyQt.
  • Performance
    PySimpleGUI might not be as optimized for performance as lower-level GUI frameworks, which can be a drawback for applications with intensive graphical requirements.
  • Dependency on Underlying Libraries
    PySimpleGUI's functionality is dependent on the underlying GUI frameworks it wraps, such as Tkinter or Qt, which may limit its capability to innovate beyond what those frameworks offer.
  • Lack of Native Look and Feel
    The GUI created with PySimpleGUI might not always match the native look and feel of the underlying operating system, which can affect user experience.
  • Smaller Ecosystem
    Compared to more established GUI frameworks like PyQt or Tkinter, PySimpleGUI has a smaller ecosystem, which might limit the availability of third-party extensions or plugins.

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.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly 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.

PySimpleGUI videos

+ Add

Real Python Podcast โ€“ Episode 17 โ€“ Linear Programming, PySimpleGUI, and More

Plotly videos

+ Add

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

Category Popularity

0-100% (relative to PySimpleGUI and Plotly)

PySimpleGUI

Plotly

Development
100 100%
Development
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using PySimpleGUI and Plotly. 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 PySimpleGUI and Plotly

PySimpleGUI Reviews

25 Python Frameworks to Master
Itโ€™s a great option for creating simple and easy-to-use graphical user interfaces in Python and allows you to add a GUI to your already working scripts pretty easily. PySimpleGUI wraps the power of 4 different GUI libraries, PySide, Tkinter, wxPython, and Remi.
Source: kinsta.com
Which Python GUI library should you use? Comparing the Python GUI libraries available in 2023
PySimpleGUI aims to simplify GUI application development for Python. It doesn't reinvent the wheel but provides a wrapper around other existing frameworks such as Tkinter, Qt (PySide 2), WxPython and Remi. By doing so, it not only lowers the barrier to creating a GUI but also allows you to easily migrate from one GUI framework to another by simply changing the import...
Source: www.pythonguis.com
10 Best Python Libraries for GUI
PySimpleGUI was developed back in 2018 to make it easier for Python beginners to get started with GUI development. A lot of the other frameworks require more complicated work, but PySimpleGUI enables you to begin right away without worrying about the advanced intricacies of other libraries.
Source: www.unite.ai
Top 10 Python GUI Frameworks for Developers
Isnโ€™t the name of this framework a dead giveaway of what it is meant to do? Getting back to the topic, those starting fresh with Python application development may find a lot of Python GUI frameworks daunting at first. Mike B. created PySimpleGUI in 2018 to make it easier for Python newbies to get into GUI development without spending too much time getting into the...
Source: towardsdatascience.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 thatโ€™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 more popular. 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.

PySimpleGUI mentions (0)

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

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    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
  • 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 / over 1 year 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 / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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
  • 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 / about 2 years ago
View more

What are some alternatives?

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

PyQt - Riverbank | Software | PyQt | What is PyQt?

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.

Tkinter - Tkinter is a Python wrapper for Tcl/Tk that offers classes to create various graphical user interfaces.

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

MD Python Designer - A drag and drop GUI Designer that uses a combination of Tkinter and its own code.

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.

Loading...