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ScreenshotOne VS Plotly

Compare ScreenshotOne VS Plotly and see what are their differences

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

ScreenshotOne logo ScreenshotOne

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

Plotly logo Plotly

Low-Code Data Apps
  • ScreenshotOne The Main Page
    The Main Page //
    2023-12-18

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

  • Plotly Landing page
    Landing page //
    2023-07-31

ScreenshotOne

Website
screenshotone.com
Pricing URL
Official ScreenshotOne Pricing
$ Details
freemium $17.0 / Monthly (2000)
Platforms
TypeScript PHP Python Ruby JavaScript
Release Date
2022 May
Edit details

Plotly

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

ScreenshotOne features and specs

  • Remove ads, trackers, and cookie banners
    Proxies
  • Scrolling and animated screenshots
    OpenAI Vision API

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.

ScreenshotOne videos

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

Add video

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 ScreenshotOne and Plotly)

ScreenshotOne

Plotly

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

Questions & Answers

As answered by people managing ScreenshotOne and Plotly.

How would you describe the primary audience of your product?

ScreenshotOne's answer

Developers who value their time and want to outsource boring tasks of dealing with screenshot automation to focus on their core business features.

User comments

Share your experience with using ScreenshotOne and Plotly. 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 ScreenshotOne and Plotly

ScreenshotOne Reviews

Choosing the Best Screenshot API in 2025: A Developerโ€™s Guide
ScreenshotOne focuses on ease of integration with both developer SDKs and no-code platforms. It offers banner/ad blocking, proxy support, and built-in workflows for Zapier, Airtable, and Make.
Source: dev.to

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

Social recommendations and mentions

Based on our record, Plotly should be more popular than ScreenshotOne. 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.

ScreenshotOne mentions (14)

  • How to Give AI Agents Website Screenshots with MCP (2026)
    ScreenshotOne ships an official MCP server (the render-website-screenshot Tool, env SCREENSHOTONE_API_KEY) alongside the deepest feature set in this list: SDKs in seven Languages, PDF and video rendering, JS/CSS injection, S3 upload, webhooks, and a dedicated AI-agents Page. It is genuinely the most polished, integration-rich option โ€” and the priciest per shot at $8.50/1,000 ($17/mo for 2,000; geo proxy is... - Source: dev.to / 21 days ago
  • Whole fight for AI sandbox
    Example, https://screenshotone.com/ and https://screenshotscout.com/. - Source: dev.to / 5 months ago
  • Self-hosted, simple web browser service โ€“ send URL, get screenshots
    I'm working on a project that requires automated website screenshots, and I've hit the cookie banner problem. I initially tried a brute-force approach, cataloging common button classes and text to simulate clicks, but the sheer variety of implementations makes it unmanageable. So many different classes, button texts etc. I've resorted to "https://screenshotone.com", because it takes a perfect screenshot every... - Source: Hacker News / over 1 year ago
  • Let's build a screenshot API
    Because I want to assess the modern landscape of technologies that enable screenshot rendering. And I want to rethink some architectural choices I made for ScreenshotOne back at times. - Source: dev.to / over 2 years ago
  • Pushing Cloudflare Worker logs to Grafana Loki
    If you don't want to read the post and want to jump straight away into the code, I open-sourced the Tail Worker code I use for my screenshot API product. - 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 / 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

What are some alternatives?

When comparing ScreenshotOne and Plotly, you can also consider the following products

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.

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.

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

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.

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