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Plotly VS Urlbox

Compare Plotly VS Urlbox 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

Urlbox logo Urlbox

Screenshot full page websites in retina resolution with Urlbox.io screenshot as a service API. Urlbox is the best provider of automated website screenshots offering many unique options and features.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Urlbox Landing page
    Landing page //
    2023-05-03

Plotly

Website
plotly.com
Pricing URL
Official Plotly Pricing
$ Details
-
Platforms
-
Release Date
-
Edit details

Urlbox

Website
urlbox.com
Pricing URL
Official Urlbox Pricing
$ Details
paid Free Trial $29.0 / Monthly (5,000 requests)
Platforms
REST API Wordpress JavaScript Web Node JS Python PHP Ruby Laravel
Release Date
2013 March
Edit details

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.

Urlbox features and specs

  • High-Quality Screenshots
    Urlbox.io provides high-resolution screenshots of web pages, ensuring clarity and detail for various uses such as presentations and reports.
  • Responsive Design Testing
    The service allows testing of web pages on different devices and screen sizes, which is useful for developers looking to ensure responsive design.
  • Customizable Options
    Urlbox.io offers various customization options, such as viewport dimensions, full-page capture, and custom delay, giving users flexibility to capture screenshots as per their needs.
  • API Integration
    The integration with APIs is straightforward, enabling seamless automation of screenshot capture for developers within their applications.
  • Supports Various Formats
    Screenshots can be exported in multiple formats, including PNG and JPEG, making it adaptable to user preferences and requirements.

Possible disadvantages of Urlbox

  • Cost
    The service can become expensive for heavy users or businesses needing a large number of screenshots regularly, which may limit its accessibility for smaller projects.
  • Rendering Issues
    Some users have reported occasional rendering issues where web pages do not appear exactly as they do in browsers, which can be problematic for precise design work.
  • Limited Offline Functionality
    Urlbox.io primarily operates online, which means it is dependent on an internet connection and cannot be used in offline environments.
  • Learning Curve
    While the API is powerful, there is a learning curve for users unfamiliar with integrating such tools, potentially requiring additional time to adapt.

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.

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

Urlbox videos

No Urlbox videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and Urlbox)

Plotly

Urlbox

Data Visualization
100 100%
Data Visualization
0% 0
Screenshots
0 0%
Screenshots
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Website Screenshots
0 0%
Website Screenshots
100% 100

User comments

Share your experience with using Plotly and Urlbox. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and Urlbox

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

Urlbox Reviews

We have no reviews of Urlbox yet.
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Social recommendations and mentions

Based on our record, Plotly should be more popular than Urlbox. 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 / 5 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

Urlbox mentions (5)

  • How to Give AI Agents Website Screenshots with MCP (2026)
    Urlbox maintains an official MCP server (@urlbox/screenshot-mcp, a render Tool that returns PNG/PDF/MP4 plus HTML/metadata, env SECRET_KEY). Its differentiator is Forensic-grade output: cryptographic timestamps and hashes, change detection, and many formats. There's No free tier โ€” a 7-day trial and a $100/10K refund guarantee instead โ€” and entry pricing is $9.50/1,000 ($19/mo for 2,000). Best for: agents in... - Source: dev.to / 21 days ago
  • Rendershot vs Urlbox: choosing a screenshot API in 2026
    Picking a screenshot API feels binary until you start integrating, then the edges show: one service has a Python SDK but no async queue, another has webhooks but charges extra for authenticated pages, a third makes you wire up an S3 bucket yourself. This post walks through how Rendershot and Urlbox compare across the dimensions that actually hurt to change later. - Source: dev.to / 3 months ago
  • Self-hosted, simple web browser service โ€“ send URL, get screenshots
    If youโ€™re worried about the security risks, edge cases, maintenance pain and scaling challenges of self hosting there are various solid hosted alternatives: - https://browserless.io - low level browser control - https://scrapingbee.com - scraping specialists - https://urlbox.com - screenshot specialists* Theyโ€™re all profitable and have been around for years so you can depend on the businesses and the tech. *... - Source: Hacker News / over 1 year ago
  • Web Scraping in Python โ€“ The Complete Guide
    This is how I do it. I send the URLs I want scraped to Urlbox[0] it renders the pages saves HTML (and screenshot and metadata) to my S3 bucket[1]. I get a webhook[2] when it's ready for me to process. I prefer to use Ruby so Nokogiri[3] is the tool I use for scraping step. This has been particularly useful when I've want to scrape some pages live from a web app and don't want to manage running Puppeteer or... - Source: Hacker News / over 2 years ago
  • Auto Screenshot URL's
    Hi there, I run urlbox.io, which is a screenshot API that allows clicking elements, waiting for elements, injecting custom JS/CSS etc. Source: over 3 years ago

What are some alternatives?

When comparing Plotly and Urlbox, 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.

ScreenshotOne - Fast and reliable screenshot API built to handle millions of screenshots a month.

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

ApiFlash - ApiFlash is a powerful serverless screenshot API built with Chromium and AWS Lambda. It can easily scale to millions of screenshots per day and has an ever growing number of satisfied big clients.

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.

ScreenshotAPI.net - Generate beautiful website screenshots using our fast website screenshot API.

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