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GIMP VS Plotly

Compare GIMP VS Plotly and see what are their differences

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GIMP logo GIMP

GIMP is a multiplatform photo manipulation tool.

Plotly logo Plotly

Low-Code Data Apps
  • GIMP Landing page
    Landing page //
    2018-09-30
  • Plotly Landing page
    Landing page //
    2023-07-31

GIMP features and specs

  • Free and Open Source
    GIMP is completely free to use and open source, allowing users to download, modify, and distribute the software without any cost.
  • Cross-Platform Compatibility
    GIMP is compatible with multiple operating systems including Windows, macOS, and Linux, providing flexibility for users on different platforms.
  • Extensive Plugin Support
    GIMP supports a wide range of plugins, which can be used to enhance functionality and customize the software to suit specific needs.
  • Powerful Editing Tools
    GIMP offers a comprehensive set of image editing tools for tasks such as photo retouching, image composition, and image authoring, suitable for both beginners and advanced users.

Possible disadvantages of GIMP

  • Complex Interface
    The user interface can be overwhelming and not as intuitive as other commercial software, which can pose a steep learning curve for new users.
  • Performance Issues
    Some users experience performance issues, such as slow rendering times, especially when working with large files or applying multiple layers and effects.
  • Limited Professional Features
    Compared to industry-standard software like Adobe Photoshop, GIMP lacks some advanced features and tools that professionals might need for high-end work.
  • Inconsistent Updates
    Updates and new features can be inconsistent, as the development relies on a community of volunteers rather than a dedicated team.

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 GIMP

Overall verdict

  • GIMP is generally considered a good alternative to commercial image editing software, especially for those who are looking for a cost-effective solution. While it may not have all the advanced features or polished interface of some paid options, it is powerful enough for most editing tasks and keeps improving with regular updates.

Why this product is good

  • GIMP (GNU Image Manipulation Program) is a free and open-source image editor that offers a wide range of tools and features for photo retouching, image composition, and image authoring. It is highly customizable and supports various plugins, making it a flexible option for different design needs. Its active community provides extensive support and resources for users.

Recommended for

    GIMP is recommended for beginners, hobbyists, and professionals who need a robust image editor without a financial commitment. It's suitable for users who are comfortable with learning open-source software and those who need a tool for basic to mid-level image editing tasks.

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.

GIMP videos

+ Add

Gimp vs Photoshop - Photo Editing Software - COMPARISON 2018

More videos:

  • Review - GIMP 2020 Preview and GIMP 2019 Recap
  • Review - 10 Reasons to Use GIMP in 2020 Over Photoshop

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 GIMP and Plotly)

GIMP

Plotly

Graphic Design Software
100 100%
Graphic Design Software
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Image Editing
100 100%
Image Editing
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

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

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

GIMP Reviews

  1. Clipping Path universe
    · Working at Clipping Path ·
    A great site

    This is a great site for photo editing and the software is supper.

    Pros:    Trusted
12 Best Free PosterMyWall Alternatives and Competitors
You can use GIMP as a basic paint tool, a high-quality photo editor, a tool to process many images at once online, a way to make lots of images, or even to change the format of an image. GIMP can do even more because you can add extra features to it using plugins and extensions. You can make it do just about anything you like.
Source: mockey.ai
10 Best Photopea Software Alternatives in 2024 (Free & Paid)
There are 1,439 votes for GIMP and 14 votes for Photopea. GIMP gets 4.3/5, and Photopea gets 4.8/5. These rankings come from real user reviews and can help you choose between the two based on your industry’s needs.
Source: www.geeksforgeeks.org
Best Adobe Photoshop alternatives of 2024
In our experience, GIMP was slightly less responsive and used a few more resources than its proprietary counterpart, but this can be easily forgiven on the basis that GIMP always has been and always will be free and open source.
Source: www.techradar.com
10 Best Adobe Illustrator Alternatives
Check out GIMP, one of the best free Illustrator alternatives which is ideal for any creative.
Source: www.ebaqdesign.com
16+ Best Web Design Software in 2022 (Ranked by a Trusted Expert)
GIMP stands for GNU Image Manipulation Program. It’s a free and open-source software for editing images and a valuable tool to have in your arsenal.
Source: onehourprofessor.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, GIMP should be more popular than Plotly. It has been mentiond 59 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.

GIMP mentions (59)

  • Yurt Calculator
    Image Creative Commons (CC) BY-SA-NC 2005-2017, developed, designed and written by René K. Müller Graphics & illustrations made with Inkscape, Tgif, Gimp, PovRay, GD.pm Web-Site powered by FreeBSD & Debian/Linux - 100% Open Source. Source: over 3 years ago
  • I just cannot understand why they did Paint so bad
    Paint.NET for a familiar paradigm with nicer features. Pinta for an old school, simple Paint experience. Krita for more advanced drawing. Gimp for editing/manipulating photos. Source: over 3 years ago
  • Had to make This after seeing all the post over and over again
    If you don't want to pay for photoshop, check out the Gnu Image Manipulation Program at http://gimp.org which is free. It has most of what you'd want photoshop for. Source: over 3 years ago
  • Super, just Super.
    As good as this suggestion is, without proper links and explanation it means nothing. GEGL is a type of plugins for GIMP, which can adjust the settings of already present effects and create new ones. The most notable ones are made by LinuxBeaver. Source: over 3 years ago
  • Useful apps for Ux designers
    GIMP: FOSS alternative to Photoshop. Like Inkscape, it’s not directly related to UI, but might be handy. Source: over 3 years ago
View more

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 / 6 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!🤓
    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 / almost 2 years 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 GIMP and Plotly, you can also consider the following products

Adobe Photoshop - Adobe Photoshop is a webtop application for editing images and photos online.

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.

Affinity Photo - Affinity is the imaging and design suite for creative professionals exclusively for Mac.

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

Krita - Krita is a professional FREE and open source painting program. It is made by artists that want to seaffordable art tools for everyone. Concept art. texture and matte painters, illustrations and comics.

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.

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