Software Alternatives, Accelerators & Startups

Plotly VS Scatter Plot Maker

Compare Plotly VS Scatter Plot Maker and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Scatter Plot Maker logo Scatter Plot Maker

Create scatter plots instantly with our free online Scatter Plot Maker. Upload data, customize colors, and export high-quality charts in seconds!
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Scatter Plot Maker
    Image date //
    2025-12-08
  • Scatter Plot Maker
    Image date //
    2025-12-08
  • Scatter Plot Maker
    Image date //
    2025-12-08

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.

Scatter Plot Maker features and specs

  • Free and Accessible
    Scatter Plot Maker is a free online tool that requires no software installation or account creation, making it easily accessible to anyone with a web browser and internet connection.
  • Simple and Easy to Use
    The tool features a straightforward, user-friendly interface that allows users to quickly input data and generate scatter plots without needing advanced technical skills or knowledge of programming languages.
  • Quick Visualization
    Users can rapidly create scatter plots by simply entering or pasting their data, making it ideal for quick data exploration and visual analysis without the overhead of more complex tools.
  • Customization Options
    The tool provides basic customization features such as changing colors, labels, titles, and axis settings, allowing users to tailor their scatter plots for presentations or reports.
  • No Learning Curve
    Unlike tools like R, Python, or Excel, Scatter Plot Maker requires virtually no learning curve, making it suitable for students, beginners, and anyone who needs a quick scatter plot without investing time in learning complex software.

Possible disadvantages of Scatter Plot Maker

  • Limited Advanced Features
    The tool lacks advanced statistical features such as regression lines, correlation coefficients, clustering, or multi-variable analysis that are available in more robust data visualization tools like Python's matplotlib or R's ggplot2.
  • Limited Data Handling
    The tool may struggle with large datasets or complex data structures, making it unsuitable for professional-grade data analysis or big data visualization tasks.
  • No Data Storage or Export Flexibility
    The platform may offer limited options for saving, exporting, or sharing plots in various formats (e.g., SVG, high-resolution PNG, PDF), which can be a drawback for professional or academic use.
  • No Interactivity
    Unlike more advanced tools such as Plotly or Tableau, the generated scatter plots are static and do not offer interactive features like zooming, hovering for data details, or dynamic filtering.
  • Internet Dependency
    As a web-based tool, it requires a stable internet connection to function, and users cannot work offline, which may be inconvenient in certain situations.

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 Scatter Plot Maker

Overall verdict

  • Scatter Plot Maker (scatterplotmaker.com) is a solid choice for quickly creating simple scatter plots without needing advanced software, though it may lack the depth of features found in more robust data visualization tools like Excel, Tableau, or Python libraries.

Why this product is good

  • Easy to use interface that requires no software installation or steep learning curve
  • Free or low-cost access makes it accessible for casual or occasional use
  • Quick generation of scatter plots directly in the browser
  • Good for basic visualization needs without requiring statistical or coding expertise
  • Useful for students or educators who need a fast way to demonstrate data relationships

Recommended for

  • Students working on homework or class projects involving basic data visualization
  • Teachers creating quick visual aids for lessons
  • Small business owners or hobbyists needing a simple chart without investing in specialized software
  • Anyone needing a fast, no-frills scatter plot for a one-time or infrequent use case
  • Users who prefer a browser-based tool over installing dedicated statistical or spreadsheet software

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

Scatter Plot Maker videos

No Scatter Plot Maker videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and Scatter Plot Maker)
Data Visualization
95 95%
5% 5
Charts
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Data Dashboard
100 100%
0% 0

Questions & Answers

As answered by people managing Plotly and Scatter Plot Maker.

What makes your product unique?

Scatter Plot Maker's answer:

A free, simple, and customizable scatter plot tool with quick downloads in PNG, SVG, and JPEG.

Which are the primary technologies used for building your product?

Scatter Plot Maker's answer:

Scatter Plot Maker is built using Next.js, Tailwind CSS, and shadcn/ui.

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 Scatter Plot Maker

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 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.

Scatter Plot Maker Reviews

We have no reviews of Scatter Plot Maker yet.
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Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Scatter Plot Maker. While we know about 34 links to Plotly, we've tracked only 1 mention of Scatter Plot Maker. 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

Scatter Plot Maker mentions (1)

  • A real-world walkthrough of regression using coffee, code, and actual data
    Before doing any math, Before doing any math, I dropped the numbers into a scatter plot maker and just sat with it for a minute. You should always do this first. Eyeballs are a free regression model. and just looked at it. You should always do this first. Eyeballs are a free regression model. - Source: dev.to / 3 months ago

What are some alternatives?

When comparing Plotly and Scatter Plot Maker, 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.

MakeCharts - Create stunning charts in minutes with our 100% free tool. Transform your data into professional visualizations instantlyโ€”no design skills needed.

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

Yarn Over Hook - The Global Home of Crochet

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.

PieChartMaker.co - Create a Pie Chart for free with easy to use tools and download the Pie Chart as jpg, png or svg file.