Software Alternatives, Accelerators & Startups

Plotly VS GTK

Compare Plotly VS GTK 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

GTK logo GTK

GTK+ is a multi-platform toolkit for creating graphical user interfaces.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • GTK Landing page
    Landing page //
    2021-10-17

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.

GTK features and specs

  • Cross-Platform Compatibility
    GTK supports multiple platforms including Linux, Windows, and macOS, making it versatile for developing applications across different operating systems.
  • Rich Widget Set
    GTK provides a comprehensive set of widgets for GUIs, allowing developers to create complex and highly functional user interfaces.
  • Open Source
    Being open-source, GTK offers developers the ability to inspect, modify, and distribute their modifications, fostering a community of collaboration and innovation.
  • Language Bindings
    GTK supports multiple programming languages through various bindings, including C, Python, and JavaScript, thereby offering flexibility to developers.
  • Consistent Look and Feel
    GTK strives to maintain a consistent look and feel across applications and platforms, providing a unified user experience.

Possible disadvantages of GTK

  • Steep Learning Curve
    For beginners, GTK can present a steep learning curve due to its comprehensive nature and the depth of its APIs.
  • Performance Overhead
    GTK applications can sometimes exhibit performance issues, especially on less powerful hardware, due to the extensive features and capabilities it includes.
  • Limited Native Support on macOS
    Although GTK is cross-platform, native support and integration on macOS can be limited compared to its support on Linux and Windows.
  • Heavy Dependencies
    GTK applications often require a significant amount of dependencies, which can lead to larger application sizes and more complex installation processes.
  • Documentation Quality
    While GTK has extensive documentation, the quality and depth can sometimes be inconsistent, which may hinder learning and troubleshooting for developers.

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.

Analysis of GTK

Overall verdict

  • Yes, GTK is a good choice for developers looking to create cross-platform desktop applications. It is especially beneficial for those who prioritize open-source software and appreciate a well-documented, community-supported framework.

Why this product is good

  • GTK, which stands for GIMP Toolkit, is a highly versatile and widely-used open-source library for creating graphical user interfaces. It is praised for its ease of use, comprehensive documentation, and ability to produce visually appealing, native-looking interfaces across different operating systems. With a large community and a wealth of resources, GTK is continuously updated, ensuring it remains relevant for modern application development. Developers also appreciate its integration capabilities with various programming languages like C, C++, Python, and more.

Recommended for

  • Developers creating cross-platform desktop applications
  • Open-source software enthusiasts
  • Projects requiring consistent look and feel across different operating systems
  • Those seeking integration with programming languages like C, C++, and Python

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

GTK videos

GTK4 Is Here: Why You Should Even Care

Category Popularity

0-100% (relative to Plotly and GTK)
Data Visualization
100 100%
0% 0
Development Tools
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Rapid Application Development

User comments

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Reviews

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

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 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.

GTK Reviews

Best GUI frameworks for Go
The go-gtk package is a Go binding for the GTK toolkit. The package enables Go developers to use the GTK library in Go with similar features as the GTK library. The package is performant, well-documented, and actively maintained. The go-gtk package depends on the GTK library to function, and youโ€™ll need to have GTK installed on your machine to build GUI applications in Go....

Social recommendations and mentions

Based on our record, Plotly should be more popular than GTK. 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.

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

GTK mentions (6)

  • What GNOME needs to progress faster? (More contributors, money, better docs etc.)
    Wha? An example of a barebones GTK JavaScript app is right there on the front page. One click on the bindings link, will send you to the official GNOME-hosted GitLab repo for gjs, which in-turn, has links to official API documentation. Source: almost 4 years ago
  • GTK 4 & JavaScript - how to start?
    I think what is lacking is a kind of introduction similar to what you have written in your post now. Myself, I am totally new to GTK. I come as a user of Gnome. All I knew until today was that to develop applications for Gnome, preferably I should use something called GTK. And I heard so much about the recent version that came out - GTK 4. So I started to look for a Getting Started tutorial for GTK 4, to build... Source: about 4 years ago
  • GTK 4 & JavaScript - how to start?
    BTW, I think the GTK team should really step up their game in terms of how to encourage new people into their ecosystem. Seeing that windows screenshot in the official tutorial makes me think I'm dealing with some old technology. Also, the official gtk.org has two separate tutorials that show very similar applications being built. Source: about 4 years ago
  • CTA: We need Web Developers to Contribute to GNOME!
    Faces of GNOME Faces of GNOME is an initiative to create something similar to People of Mozilla / Mozillians which is a directory of active, current or past GNOME Contributors. Faces of GNOME (Current Demo HERE) aims to give a space for every GNOME Contributor, GNOME Foundation Member and more. It is being designed to showcase the list of current Maintainers, People that spoke at GNOME Conferences/Events, GNOME... Source: over 4 years ago
  • Software Engineering student looking to get started developing apps on the pinephone
    My advice is to basically learn how to write GTK apps using Python. Source: almost 5 years ago
View more

What are some alternatives?

When comparing Plotly and GTK, 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.

wxWidgets - wxWidgets: Cross-Platform GUI Library

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

Qt - Powerful, flexible and easy to use, Qt will help you not only meet your tight deadline, but also reduce the maintainable code by an astonishing percentage.

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.

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