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Plotly VS Uppy.io

Compare Plotly VS Uppy.io and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Plotly logo Plotly

Low-Code Data Apps

Uppy.io logo Uppy.io

Next open source file uploader for web browsers
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Uppy.io Landing page
    Landing page //
    2023-05-08

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.

Uppy.io features and specs

  • Modular Architecture
    Uppy offers a modular architecture allowing developers to use only the parts they need. This makes Uppy highly customizable and efficient.
  • Multiple Integrations
    It supports integrations with popular cloud storage services like Google Drive, Dropbox, Instagram, and more. This ensures versatility in file sourcing.
  • User-Friendly Interface
    Uppy provides a streamlined and intuitive user interface which enhances user experience and ensures ease of use for both developers and end-users.
  • Highly Extendable
    Uppyโ€™s plugin system allows developers to extend its functionality easily, making it adaptable for various use cases.
  • Real-time Progress
    It offers real-time progress bars and updates which improve user experience during file upload processes.
  • File Recovery
    Uppy has an automatic file recovery feature that helps in recovering interrupted uploads, reducing the risk of losing files during the process.
  • Open Source
    As an open-source project, Uppy is freely available for anyone to use, modify, and contribute to, which promotes community collaboration and continuous improvement.

Possible disadvantages of Uppy.io

  • Complexity in Configuration
    Due to its highly modular nature, setup and configuration can be complex and may require a steep learning curve for new users.
  • Dependency on External Services
    The use of third-party plugins and integrations means that Uppy is dependent on the reliability and availability of these external services.
  • Limited Documentation
    Some users might find the documentation insufficient for advanced configurations, which can hinder the development progress.
  • Performance Overhead
    The flexibility and extensibility of Uppy come with some performance overhead, particularly if multiple plugins are used.
  • Browser Compatibility
    There might be issues with browser compatibility, particularly with older versions, which can affect the user experience.

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 Uppy.io

Overall verdict

  • Yes, Uppy.io is considered a good choice for developers seeking a robust, flexible, and user-friendly file uploading solution. Its wide array of integrations and customizable features make it suitable for various applications.

Why this product is good

  • Uppy.io is a highly regarded open-source file uploader that simplifies file uploads for developers. It offers a modern and user-friendly interface, allowing for seamless integrations with various services like Dropbox, Google Drive, Instagram, and more. Additionally, Uppy is designed to handle big file uploads efficiently with features like resumable uploads, file previews, and thumbnail generation. The customizable plugins and modular architecture make it easy to adapt Uppy to specific project needs.

Recommended for

  • Developers building web applications that require file uploading capabilities.
  • Projects that need integrations with cloud storage services and third-party platforms.
  • Teams seeking a customizable and extensible file uploader.
  • Applications where user experience and modern design are priorities.

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

Uppy.io videos

+ Add

ted

Category Popularity

0-100% (relative to Plotly and Uppy.io)

Plotly

Uppy.io

Data Visualization
100 100%
Data Visualization
0% 0
File Uploads
0 0%
File Uploads
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Secure File Sharing
0 0%
Secure File Sharing
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 Plotly and Uppy.io

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

Uppy.io Reviews

We have no reviews of Uppy.io yet.
Be the first one to post

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.

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

Uppy.io mentions (0)

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

What are some alternatives?

When comparing Plotly and Uppy.io, 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.

FilePizza - Open source application used to transfer file via WebRTC and WebTorrent.

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

Bashupload - Upload files from command line to share between servers

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.

ShareOn - Send big files to your friends instantly. Share 10GB in 10s.

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