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Make.com VS Plotly

Compare Make.com VS Plotly and see what are their differences

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Make.com logo Make.com

Tool for workflow automation (Former Integromat)

Plotly logo Plotly

Low-Code Data Apps
  • Make.com Landing page
    Landing page //
    2022-07-05
  • Plotly Landing page
    Landing page //
    2023-07-31

Make.com features and specs

  • Ease of Use
    Make.com offers a user-friendly interface with drag-and-drop functionality, making it accessible for non-technical users.
  • Integration Options
    The platform supports a wide array of integrations with popular apps and services, enabling complex workflows.
  • Custom Workflows
    Users can create highly customized workflows tailored to specific business needs, allowing for greater flexibility.
  • Scalability
    Make.com is built to handle both small-scale and enterprise-level tasks, providing a scalable solution as your business grows.
  • Community and Support
    There is an active community and comprehensive support, including documentation and forums, to help users troubleshoot and optimize their usage.
  • Real-time Monitoring and Analytics
    The platform offers real-time monitoring and analytics, allowing users to track the performance of their workflows and make data-driven decisions.
  • Versatile Triggers and Actions
    Make.com offers a variety of triggers and actions that can be used to automate a wide range of tasks across different services.

Possible disadvantages of Make.com

  • Pricing
    The pricing structure can be expensive for small businesses or individual users, especially for advanced features and high-volume usage.
  • Learning Curve
    Despite its user-friendly design, there is still a learning curve for newcomers to understand all the capabilities and features.
  • Occasional Bugs
    Users have reported occasional bugs and issues, which can disrupt workflows and require troubleshooting.
  • Limited Offline Support
    Make.com heavily relies on internet connectivity, which can be a drawback for users requiring offline functionality.
  • Complexity for Advanced Features
    While basic workflows are easy to set up, leveraging more advanced features may require a deeper understanding of the platform and potentially some coding knowledge.
  • Dependency on Third-party Services
    The platform’s effectiveness is influenced by the reliability and performance of third-party services it integrates with, making it susceptible to external issues.
  • Data Privacy Concerns
    Storing and processing data through third-party services may raise privacy and compliance issues for businesses dealing with sensitive information.

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 Make.com

Overall verdict

  • Overall, Make.com is considered a good platform for those looking to streamline processes and improve efficiency through automation. Its flexible and powerful features cater to a wide range of needs, although there may be a learning curve for those new to automation or with limited technical knowledge.

Why this product is good

  • Make.com, formerly known as Integromat, is a popular platform for automating workflows and integrating various software tools. It offers a visual interface that allows users to connect different applications and automate repetitive tasks, enhancing productivity. Its ability to create complex multi-step automations with various conditions and triggers makes it a robust tool for both small businesses and larger enterprises.

Recommended for

  • small business owners
  • project managers
  • IT professionals
  • digital marketers
  • anyone looking to automate tasks without extensive coding knowledge

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.

Make.com videos

+ Add

Zapier vs Integromat - Quick Comparison Review

More videos:

  • Review - Integromat feature tour
  • Review - Introduction to Integromat

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 Make.com and Plotly)

Make.com

Plotly

Automation
100 100%
Automation
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Web Service Automation
100 100%
Web Service Automation
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Make.com 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 Make.com and Plotly

Make.com Reviews

The Best n8n.io Alternatives for Workflow Automation in 2025
Make, formerly known as Integromat, is a versatile no-code platform that enables users to create sophisticated workflows with ease. It offers a visual workflow builder that allows users to connect various applications and services, define conditional logic, and manipulate data without writing any code. Make's strengths lie in its ability to handle complex workflows and its...
Source: latenode.com
N8n.io Alternatives
One of the standout features of Integromat is its flexibility and customization options. Users can set up multi-step workflows with conditional logic, ensuring that each automation is tailored to their specific needs. Additionally, Integromat offers advanced error handling and data manipulation capabilities, providing robust solutions for complex automation requirements. For...
Source: apix-drive.com
The Best MuleSoft Alternatives [2024]
Make (formerly Integromat) is an integration solution that allows you to automate and connect applications, databases, web services, chatbots, and other systems.
Source: exalate.com
Top 9 MuleSoft Alternatives & Competitors in 2024
Make, one of the best Mulesoft alternatives, the ultimate IT process automation tool for enhancing efficiency, productivity, and collaboration. By automating routine tasks, integrating with existing infrastructure, and offering powerful workflow automation, Make empowers your team to streamline processes and achieve remarkable results.
Source: www.zluri.com
Zapier vs. Make.com: Which Automation Tool Will Take the Business Lead?
Make.com offers a cost-effective option for those looking for a business process automation solution, even if it may compromise usability and integration. From your scenario, Make.com seems like a realistic alternative for those with a more limited budget or those willing to work with additional API documentation and webhooks instead of the broader integration that Zapier...
Source: www.listproductsreview.com

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 more popular. It has been mentiond 33 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.

Make.com mentions (0)

We have not tracked any mentions of Make.com yet. Tracking of Make.com recommendations started around Mar 2021.

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 / 3 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 / 5 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 / about 1 year 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 Make.com and Plotly, you can also consider the following products

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

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.

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

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

n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.

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

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