Software Alternatives, Accelerators & Startups

Gone VS Plotly

Compare Gone 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.

Gone logo Gone

An ephemeral to-do list

Plotly logo Plotly

Low-Code Data Apps
  • Gone Landing page
    Landing page //
    2021-09-17
  • Plotly Landing page
    Landing page //
    2023-07-31

Gone features and specs

  • Convenience
    Gone app simplifies the process of selling used items by offering a user-friendly interface and quick listing process. Users can easily upload pictures and details of their items, making it easier to reach potential buyers.
  • Item Valuation
    The app provides an automated valuation for the items based on current market trends and similar listings. This helps users to set a fair price without needing extensive research.
  • Shipping Assistance
    Gone offers support with packaging and shipping, either by providing shipping labels or arranging for item pick-up, reducing the hassle for the seller.
  • Secure Transactions
    The app ensures secure payment processing, reducing the risk of fraud and non-payment that can occur in private sales.
  • Decluttering
    Gone helps users declutter their homes by making it easy to sell items they no longer need, contributing to a more organized living space.

Possible disadvantages of Gone

  • Commission Fees
    Gone charges a commission fee on sales, which can reduce the net revenue for sellers compared to other platforms that might have lower fees or no fees at all.
  • Limited Audience
    The app might have a smaller user base compared to large, established marketplaces like eBay or Craigslist, potentially leading to longer times to sell items.
  • Item Restrictions
    There may be restrictions on the types of items that can be sold through Gone, limiting its usability for selling niche or specialized products.
  • Dependence on App Quality
    The overall experience is heavily dependent on the quality of the app. Bugs, poor interface design, or lack of feature updates can negatively impact user experience.
  • Geographical Limitations
    The convenience features like packing assistance or item pick-up may not be available in all locations, limiting the app's functionality for some users.

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 Gone

Overall verdict

  • If you value convenience and are willing to pay a small premium for a service that handles the complexities of selling your items, then Gone can be a good choice. It may not maximize the financial return on your items, but it saves time and effort.

Why this product is good

  • Gone (gone-app.com) is designed to help users declutter by selling items they no longer need. The platform simplifies the selling process by handling listing, pricing, and sales for the user. It is particularly useful for individuals who want to sell items quickly without the hassle of direct selling through other means.

Recommended for

  • Individuals with limited time who want to sell unwanted items efficiently.
  • People who prefer a hassle-free selling experience without negotiating or meeting buyers.
  • Users with various items to sell, ranging from electronics to furniture, who are seeking a streamlined service.

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.

Gone videos

Gone - Movie Review by Chris Stuckmann

More videos:

  • Review - Offensive Book! Rant Review of Gone by Michael Grant || Book Review
  • Review - Gone - Spoiler Free Book Review

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 Gone and Plotly)
Productivity
100 100%
0% 0
Data Visualization
0 0%
100% 100
Task Management
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 Gone and Plotly

Gone Reviews

We have no reviews of Gone yet.
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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 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.

Gone mentions (0)

We have not tracked any mentions of Gone yet. Tracking of Gone 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
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What are some alternatives?

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

Taskful - Deadlines, meet your match.

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.

Streaks - The to-do list that helps you form good habits.

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

ToDoList - Windows desktop application to stay on top of your daily tasks.

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.