Software Alternatives & Startups

Plotly VS Clipy

Compare Plotly VS Clipy and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Clipy logo Clipy

Clipy is a clipboard extension for macOS.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Clipy Landing page
    Landing page //
    2018-11-08

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.

Clipy features and specs

  • User-Friendly Interface
    Clipy has an intuitive and easy-to-use interface, making it simple for users to navigate and utilize its features without a steep learning curve.
  • Open Source
    Being an open-source application, Clipy benefits from contributions from the developer community, ensuring regular updates and improvements.
  • Lightweight
    Clipy is a lightweight application that doesn’t consume significant system resources, ensuring that it runs smoothly alongside other applications.
  • Customization
    Clipy offers customizable settings, allowing users to tailor the clipboard manager to their preferences and workflow.
  • History Management
    Clipy provides robust clipboard history management, allowing users to access and manage previously copied items efficiently.

Possible disadvantages of Clipy

  • Mac-Only
    Clipy is exclusively available for macOS, limiting its accessibility to users on other operating systems like Windows and Linux.
  • Lack of Advanced Features
    Compared to some other clipboard managers, Clipy lacks advanced features such as cloud sync and cross-device support.
  • Sparse Documentation
    The documentation and support resources for Clipy are somewhat limited, which may pose challenges for troubleshooting and maximizing the use of all features.
  • Potential for Clutter
    Without regular management, the clipboard history can become cluttered, making it harder to find specific items quickly.
  • Security Concerns
    As with any clipboard manager, there are potential security risks if sensitive information such as passwords are stored in the clipboard history.

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 Clipy

Overall verdict

  • Clipy is a highly regarded tool for users who require efficient clipboard management on macOS. Its ease of use, customization, and free availability make it a compelling choice for increasing productivity. Although some might find it lacks advanced features found in paid alternatives, it meets the needs of most everyday users effectively.

Why this product is good

  • Clipy is a clipboard manager for macOS that enhances productivity by allowing users to store and access multiple clipboard contents easily. It offers features like clipboard history, the ability to manage frequently used items, a simple and user-friendly interface, and customization options for faster clipboard access. Being open-source, it also provides transparency and the potential for community-driven improvements.

Recommended for

  • Users who frequently copy and paste text or images
  • Individuals seeking a free and open-source clipboard manager
  • Mac users who want a simple and intuitive interface
  • Anyone looking to boost productivity by managing clipboard history

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

Clipy videos

Comparing SureClip, Clipy and Pennamed's clip

Category Popularity

0-100% (relative to Plotly and Clipy)
Data Visualization
100 100%
0% 0
Clipboard Manager
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Productivity
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 Plotly and Clipy

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.

Clipy Reviews

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

Social recommendations and mentions

Based on our record, Plotly should be more popular than Clipy. 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 / 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
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Clipy mentions (10)

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What are some alternatives?

When comparing Plotly and Clipy, 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.

CopyQ - CopyQ : Clipboard Manager with Advanced Features.

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

Maccy - Lightweight open-source clipboard manager 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.

Ditto - Easy to use interface; Search and paste previous copy entries; Keep multiple computer's clipboards in sync; Data is encrypted when sent over the network; Accessed from tray icon or global hot key; Select entry by double click, enter key or drag drop…