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Pastelink.net VS Plotly

Compare Pastelink.net VS Plotly and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Pastelink.net logo Pastelink.net

Anonymously publish text with hyperlinks enabled.

Plotly logo Plotly

Low-Code Data Apps
  • Pastelink.net Landing page
    Landing page //
    2022-10-06
  • Plotly Landing page
    Landing page //
    2023-07-31

Pastelink.net features and specs

  • Ease of Use
    Pastelink.net offers a simple and user-friendly interface, making it easy for users to share URLs without complications.
  • No Registration Required
    Users can create and share links without the need to sign up for an account, facilitating quick and anonymous sharing.
  • Link Analytics
    The platform provides users with basic analytics for shared links, including the number of views, giving insights into link performance.
  • Large Upload Capacity
    Pastelink.net supports large file uploads, which is beneficial for users needing to share substantial files quickly.

Possible disadvantages of Pastelink.net

  • Limited Advanced Features
    Compared to other file-sharing services, Pastelink.net lacks more advanced functionalities such as password protection for links or expiration dates.
  • Ad-Supported
    The platform may display ads to maintain the service, which could be distracting or reduce user experience.
  • Potential Security Concerns
    The simplicity and lack of advanced security features might raise concerns for users sharing sensitive or confidential information.
  • Basic Link Customization
    The service offers limited customization options for link appearance or management, which might not meet the needs of more demanding 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 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.

Pastelink.net videos

+ Add

Shorten Your Links Shorten | URL Links using pastelinks.net | PASTE LINKS

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

Category Popularity

0-100% (relative to Pastelink.net and Plotly)

Pastelink.net

Plotly

Design Playground
100 100%
Design Playground
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
JavaScript
100 100%
JavaScript
0% 0
Data Dashboard
0 0%
Data Dashboard
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 Pastelink.net and Plotly

Pastelink.net Reviews

We have no reviews of Pastelink.net 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.
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 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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Pastelink.net. While we know about 33 links to Plotly, we've tracked only 1 mention of Pastelink.net. 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.

Pastelink.net mentions (1)

  • Roms Megathread 4.0 HTML Edition 2021
    Pastebin moved to https://pastelink.net as per /u/4extsp's good advice. Source: about 4 years ago

Plotly mentions (33)

  • 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 / 2 months 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 / 4 months 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 / 6 months 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 / 12 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

When comparing Pastelink.net and Plotly, you can also consider the following products

Pastebin.com - Pastebin.com is a website where you can store text for a certain period of time.

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.

JustPaste.it - Want to share text with your friends? Paste it below and give them a link.

Chart.js - Easy, object oriented client side graphs for designers and developers.

PrivateBin - PrivateBin is a minimalist, open source online pastebin where the server has zero knowledge of...

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

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