Software Alternatives, Accelerators & Startups

Datamatic.io VS Plotly

Compare Datamatic.io VS Plotly and see what are their differences

Datamatic.io logo Datamatic.io

Datamatic - WordPress for data visualizations

Plotly logo Plotly

Low-Code Data Apps
  • Datamatic.io Landing page
    Landing page //
    2023-09-29
  • Plotly Landing page
    Landing page //
    2023-07-31

Datamatic.io features and specs

  • User-Friendly Interface
    Datamatic.io features an intuitive and easy-to-navigate interface, making it accessible for users with varying levels of technical expertise.
  • Collaboration Features
    The platform supports collaborative work environments, allowing multiple users to work on the same project simultaneously.
  • Customizable Templates
    Datamatic.io offers a variety of customizable templates that can be tailored to specific data visualization needs, saving users time and effort.
  • Integration With Various Data Sources
    It supports integration with multiple data sources, enabling seamless data import from different platforms and enhancing data connectivity.
  • Data Security
    The platform employs robust security measures to protect user data, ensuring privacy and compliance with data protection regulations.

Possible disadvantages of Datamatic.io

  • Limited Free Tier
    The free tier of Datamatic.io has limited features and storage options, which may necessitate an upgrade to a paid plan for more comprehensive use.
  • Learning Curve
    Though the interface is user-friendly, there can still be a learning curve for those unfamiliar with data visualization tools.
  • Performance Issues
    Some users have reported performance issues, particularly with large datasets, which can impact the efficiency of data analysis.
  • Cost
    Depending on the features and scale of use, the cost of paid plans can be high, which may be a barrier for small businesses or individual users.
  • Limited Advanced Features
    While it is excellent for basic and intermediate data visualization tasks, Datamatic.io may lack some of the advanced features that power users might require.

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.

Datamatic.io videos

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

Add video

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

Category Popularity

0-100% (relative to Datamatic.io and Plotly)
Data Dashboard
31 31%
69% 69
Data Visualization
16 16%
84% 84
Office & Productivity
100 100%
0% 0
Charting Libraries
0 0%
100% 100

User comments

Share your experience with using Datamatic.io and Plotly. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Datamatic.io Reviews

We have no reviews of Datamatic.io yet.
Be the first one to post

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 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.

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.

Datamatic.io mentions (0)

We have not tracked any mentions of Datamatic.io yet. Tracking of Datamatic.io 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 / about 2 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 / 4 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 / 5 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 / 11 months 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 Datamatic.io and Plotly, you can also consider the following products

Vizzlo - Create high-quality charts and business graphics easily online, in PowerPoint, or Google Slides.

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.

Whatagraph - Whatagraph is the most visual multi-source marketing reporting platform. Built in collaboration with digital marketing agencies

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

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application