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Plotly VS MakeGraph.me

Compare Plotly VS MakeGraph.me and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

MakeGraph.me logo MakeGraph.me

MakeGraph.me is a free online tool to create graphs and charts easily. No signup needed, just add your data and download your design.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • MakeGraph.me Line Graph Mkaer
    Line Graph Mkaer //
    2026-04-21
  • MakeGraph.me Bar Graph Maker
    Bar Graph Maker //
    2026-04-21

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.

MakeGraph.me features and specs

  • Instant Graph Creation
    Create graphs immediately from your data without waiting or complicated setup.
  • Multiple Chart Types
    Choose from different graph styles like bar charts, line charts, and pie charts.

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 MakeGraph.me

Overall verdict

  • MakeGraph.me appears to be a niche, lesser-known online tool for creating graphs and charts, but there is limited publicly available information, reviews, or track record to fully verify its quality, reliability, or feature set compared to established alternatives.

Why this product is good

  • Likely offers a simple, accessible way to create graphs without needing to install software
  • May provide quick, free graphing capabilities for basic needs
  • Web-based tools like this often have low barriers to entry and easy sharing options
  • Lack of widespread reviews suggests it may be a smaller or newer service, which could mean less reliability or support

Recommended for

  • Users needing quick, basic graph creation without complex features
  • Students or hobbyists looking for a free, simple charting tool
  • Those who prefer lightweight web tools over full-featured software like Excel or specialized data visualization platforms
  • Users willing to try a lesser-known tool and verify its suitability through direct testing

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

MakeGraph.me videos

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

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Category Popularity

0-100% (relative to Plotly and MakeGraph.me)

Plotly

MakeGraph.me

Data Visualization
96 96%
Data Visualization
4% 4
Charting Libraries
100 100%
Charting Libraries
0% 0
Flow Charts And Diagrams
0 0%
Flow Charts And Diagrams
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0

Questions & Answers

As answered by people managing Plotly and MakeGraph.me.

What makes your product unique?

MakeGraph.me's answer:

makegraph.me is unique because it lets anyone quickly create clean and easy graphs from data directly in the browser without any complex setup or technical skills.

How would you describe the primary audience of your product?

MakeGraph.me's answer:

People who need to quickly turn data into simple and clear graphs without using complex tools. This includes students, teachers, business professionals, and anyone who wants an easy way to visualize information for reports, projects, or presentations.

Why should a person choose your product over its competitors?

MakeGraph.me's answer:

makegraph.me is easier and faster to use than most competitors because it focuses only on what users need: quick and simple graph creation. It removes complex steps, works directly in the browser, and lets anyone turn data into clean charts in seconds without learning advanced tools or software.

What's the story behind your product?

MakeGraph.me's answer:

makegraph.me was created with the idea of making data visualization simple for everyone. Many existing tools are complex and require time to learn, so the goal was to build a fast, browser-based tool where anyone can turn raw data into clear graphs in just a few seconds. It was designed to remove unnecessary steps and make graph creation easy, accessible, and stress free.

Which are the primary technologies used for building your product?

MakeGraph.me's answer:

makegraph.me is built using modern web technologies. It typically uses HTML, CSS, and JavaScript for the frontend, along with a JavaScript framework or library for interactive features. It may also use a charting library such as Chart.js or similar tools to generate graphs, all running directly in the browser for fast and smooth performance.

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 MakeGraph.me

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

MakeGraph.me Reviews

We have no reviews of MakeGraph.me yet.
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Social recommendations and mentions

Based on our record, Plotly seems to be more popular. 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
View more

MakeGraph.me mentions (0)

We have not tracked any mentions of MakeGraph.me yet. Tracking of MakeGraph.me recommendations started around Apr 2026.

What are some alternatives?

When comparing Plotly and MakeGraph.me, 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.

Line Graph Maker - Create a line graph for free with easy to use tools and download the line graph as jpg or png file.

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

Bar Graph Maker - Create a Bar Graph for free with easy to use tools and download the Bar graph as jpg, png or svg file. Customize Bar Chart according to your choice.

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.

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

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