Software Alternatives & Startups

Paste App VS Plotly

Compare Paste App 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.

Paste App logo Paste App

Paste is a clipboard manager for Mac and iOS devices.

Plotly logo Plotly

Low-Code Data Apps
  • Paste App Paste on Mac and iOS devices
    Paste on Mac and iOS devices //
    2026-01-24
  • Plotly Landing page
    Landing page //
    2023-07-31

Paste App

$ Details
paid Free Trial $29.99 / Annually
Platforms
MacOS iOS
Startup details
Country
Demark
Employees
1 - 9

Paste App features and specs

  • Visual Organization
    Paste App allows users to visually organize their presentations with ease, using an intuitive drag-and-drop interface.
  • Collaboration Features
    The app provides robust collaboration tools, allowing multiple users to work on the same presentation in real time.
  • Template Library
    Users have access to a comprehensive library of templates, making it easier to start a new presentation quickly and with a professional look.
  • Cross-Device Synchronization
    Presentations are synchronized across all your devices, allowing you to work seamlessly from your computer, tablet, or smartphone.
  • Simple and Clean Design
    The app features a minimalistic design which enhances ease of use and ensures presentations are uncluttered and visually appealing.

Possible disadvantages of Paste App

  • Limited Advanced Features
    While user-friendly, the app may lack some advanced features that power users find in more complex presentation software like PowerPoint or Keynote.
  • Subscription Cost
    Paste App requires a subscription, which may be a barrier for some users who are looking for a free solution.
  • Learning Curve
    Although designed to be user-friendly, there may still be a learning curve for users who are accustomed to more traditional presentation tools.
  • Internet Dependency
    Some features of the app rely on an active internet connection, which could be a limitation in environments with unstable connectivity.
  • Compatibility Issues
    There may be compatibility issues when importing or exporting files to and from other presentation software, which could hinder collaboration with users on different platforms.

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 Paste App

Overall verdict

  • Overall, Paste App is considered a good choice for users seeking an advanced clipboard manager that is both feature-rich and easy to use. It is particularly praised for its reliability and the convenience it adds to managing copied content.

Why this product is good

  • Paste App is well-regarded for its user-friendly interface and efficient pasteboard management, which makes it easy to organize and access your copied items. Users appreciate its seamless integration with macOS and iOS, real-time iCloud sync, and robust search features. Its ability to categorize and manage multiple copied items helps enhance productivity significantly.

Recommended for

  • Users who frequently copy and paste information and need an organized way to manage it.
  • Professionals such as writers, developers, or researchers who deal with large amounts of text and data.
  • Anyone looking for a seamless clipboard management solution across Apple devices.

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.

Paste App videos

BluMaan Monarch Matte Paste vs. Label M Matt Paste | Brand Battle

More videos:

  • Review - Mens Hair | Monarch Matte Paste Official "Review" | BluMaan 2018
  • Review - FULL Paste Review | Answering ALL Your Questions!!

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 Paste App and Plotly)
Productivity
100 100%
0% 0
Data Visualization
0 0%
100% 100
Mac
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 Paste App and Plotly

Paste App Reviews

Best clipboard manager for Mac
Paste has a unique interface as it can be accessed from the menubar, but when you click on the icon, a list of clippings swipe up from the bottom of your Mac screen. From the bottom list, you can copy and paste the content in your Mac apps. However, Paste is a paid app, and therefore, it restricts users from creating the clippings; when you wish to copy and paste the data,...
8 Best Clipboard Managers for Mac in 2023
Paste is one of the most popular clipboard managers for Mac. It lets you store everything you copy on your Mac, iPhone, and iPad, so you can find it any time you want. Some of the things you can copy with the Paste clipboard manager include text, links, images, or files.
Source: techpp.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.
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 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.

Social recommendations and mentions

Plotly might be a bit more popular than Paste App. We know about 34 links to it since March 2021 and only 27 links to Paste App. 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.

Paste App mentions (27)

  • Show HN: We added a way to jump from clipboard search back to original context
    Try it yourself: https://pasteapp.io. - Source: Hacker News / 4 months ago
  • Paste Clipboard Manager for Mac and iOS – 10% Off for 10-Year Anniversary
    Link: https://pasteapp.io Thanks to everyone here who’s supported us, shared feedback, or recommended Paste over the years. - Source: Hacker News / about 1 year ago
  • The One Productivity Tool You Didn't Know You Can't Live Without
    Paste (Mac) - This is what I use in my day-to-day. I recommend it only if you already have a Setapp license, as it can be a little pricy on its own. - Source: dev.to / about 1 year ago
  • Four Must-Have Essential MacOS Apps
    Paste is a convenient clipboard application that allows users to quickly set a shortcut for accessing the clipboard. It can store an unlimited number of copied items, so you never have to worry about losing content you want to paste. It can handle text, links, files, and images without any issues. Another handy feature is the ability to pin frequently used items, such as phone numbers and email addresses, to the... - Source: dev.to / about 2 years ago
  • Must-have for slacking off! 2024 Efficient Dev Tools for Increasing Productivity
    Paste is a straightforward and effective pasting tool, prioritizing a minimalist user experience. Supporting syntax highlighting for various languages, it facilitates easy sharing of code, text, and other content, enhancing readability and professionalism. - Source: dev.to / over 2 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 Paste App and Plotly, you can also consider the following products

Maccy - Lightweight open-source clipboard manager for macOS

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.

Pastebot - Queue up multiple clippings to paste in sequence. Pastebot is always running and only a keyboard shortcut away to command copy & paste. Play. Download or. Download a Free Trial Runs on macOS El Capitan 10.

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

Clipy - Clipy is a clipboard extension for macOS.

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.