Software Alternatives, Accelerators & Startups

openDesktop.org VS Plotly

Compare openDesktop.org VS Plotly 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.

openDesktop.org logo openDesktop.org

The website openDesktop.

Plotly logo Plotly

Low-Code Data Apps
  • openDesktop.org Landing page
    Landing page //
    2021-10-06
  • Plotly Landing page
    Landing page //
    2023-07-31

openDesktop.org features and specs

  • Open Source Community
    openDesktop.org fosters a strong community of open-source developers and users, facilitating collaboration and sharing of free and open-source software.
  • Diverse Range of Content
    The platform offers a wide variety of content including applications, wallpapers, themes, and icon sets, catering to different user needs and preferences.
  • Free Access
    All the resources available on openDesktop.org are free to download and use, making it accessible to anyone without financial constraints.
  • User Contributions
    Users can contribute their own work, allowing for personalized and community-driven content.
  • Regular Updates
    Being community-driven, the content is frequently updated and improved, ensuring that users have access to the latest software and design elements.

Possible disadvantages of openDesktop.org

  • Quality Control
    The open nature of the platform can sometimes lead to varying quality of submissions, with some content not meeting the users' expectations or lacking proper documentation.
  • Security Risks
    As with any platform that hosts user-generated content, there is always a risk of downloading malicious software, making it essential for users to be cautious.
  • Dependency Issues
    Some software may have dependencies which can be difficult to manage or resolve, particularly for less experienced users.
  • Limited Professional Support
    OpenDesktop.org relies heavily on community support rather than professional customer service, which can be a drawback for users needing immediate or specialized assistance.
  • Inconsistent Updates
    While community-driven updates are generally frequent, there is no guarantee that all projects will receive regular maintenance, potentially leading to outdated or unsupported software.

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.

openDesktop.org videos

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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

Category Popularity

0-100% (relative to openDesktop.org and Plotly)
Development
100 100%
0% 0
Data Visualization
0 0%
100% 100
Code Collaboration
100 100%
0% 0
Charting Libraries
0 0%
100% 100

User comments

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Reviews

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

openDesktop.org Reviews

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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.

Social recommendations and mentions

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

openDesktop.org mentions (6)

  • Open Source Online Data Storage that isn't Google Drive
    So guys, just to add, the issue with opendesktop.org was that it was telling me that 'an error has occured' will I was importing my tarz. Source: about 3 years ago
  • The Ultimate Battle: KDE vs GNOME โš”๏ธ
    Since there is not a definition for how to implement systray in opendesktop.org Gnome has been reluctant to implement an "incomplete" version. You can still include systray by adding an extension but KDE is better in that regard. Source: about 4 years ago
  • Change Nautilus theme PopOS
    I've been exploring different gnome themes on POP. However whenever I change a theme, Nautilus seems to be unaffected. The preview images of the themes on opendesktop.org seem to have their file browser changed as well. Are they using a different file browser? Source: about 4 years ago
  • I have PopOS, but it does not serve my needs, Zorin I've tried and LOVE, but I want something lighter, like Xubuntu.
    I use Lubuntu on a 1st gen i3 4GB DDR3 laptop, so you'll do more than fine. There are some nice themes at opendesktop.org for a better experience (just don't expect any miracles). Source: over 4 years ago
  • Icon
    Have you checked on opendesktop.org? If u find it, u can set it as default by copying the icon folder to usr/share/icons. Source: over 4 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 / 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 openDesktop.org and Plotly, you can also consider the following products

SourceForge - The Complete Open-Source and Business Software Platform.

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.

OSOR - OSOR is the Open Source Observatory, a project to provide a framework for developing and executing autonomous observations.

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

Eclipse - Eclipse is an open source community, whose projects are focused on building an open development platform comprised of extensible frameworks, tools and runtimes for building, deploying and managing software across the lifecycle.

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.