Software Alternatives, Accelerators & Startups

Mapme VS Plotly

Compare Mapme VS Plotly and see what are their differences

Mapme logo Mapme

Build smart and beautiful maps within minutes with no coding

Plotly logo Plotly

Low-Code Data Apps
  • Mapme
    Image date //
    2026-02-13

Mapme is a no-code interactive mapping platform that helps teams turn location-based data into dynamic, shareable visual experiences. It allows organizations to centrally manage places, listings, projects, and geographic datasets while adding rich media, filters, categories, and branded content to each location.

The platform supports:

Drag-and-drop map creation and styling

Bulk data import via CSV or Google Sheets

Custom categories, filters, and markers

Website embedding and link sharing

Rich media including images, videos, and documents

Engagement analytics

Mapme is used across industries including real estate, economic development, business directories, retail networks, campuses, portfolios, and project showcases — enabling organizations to present geographic information clearly, interactively, and at scale.

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

Mapme

Website
mapme.com
$ Details
paid Free Trial $30 / Monthly (Upto 30 maps)
Release Date
2015 February
Startup details
Country
United States
State
New York
City
New York
Employees
1 - 9

Mapme features and specs

  • Map Style Gallery
    Mapme offers a clean and intuitive interface that makes it easy for users of all skill levels to create and customize maps.
  • Customization Options
    The platform provides a variety of customization features, including themes, icons, and markers, enabling users to tailor maps to their specific needs.
  • Interactive Features
    Mapme includes interactive elements such as clickable markers, pop-up descriptions, and multimedia support, enhancing user engagement.
  • Mobile Responsiveness
    Maps created with Mapme are mobile-responsive, ensuring a seamless experience across different devices and screen sizes.
  • Collaboration Tools
    The platform supports team collaboration, allowing multiple users to work on the same map, which is ideal for projects requiring input from various stakeholders.
  • Integration Capabilities
    Mapme integrates smoothly with other tools and platforms, such as social media, websites, and data management systems, enhancing its utility.
  • No Coding Required
    Users do not need any coding skills to create complex and interactive maps, making it accessible to a broader audience.
  • Customer Support
    Mapme offers responsive customer support to help users navigate the platform and resolve any issues they may encounter.
  • Map Style Gallery
    Choose from multiple map styles (streets, satellite, dark, light, etc.) or import custom styles
  • 3D Terrain
    Add realistic elevation to maps for immersive experience and better topographical context
  • Image Overlay
    Add custom images like site plans, floor plans, photos, or drone shots on the map Choose from multiple layout styles - text-focused to rich media presentations Choose from hundreds of icons or upload your own with visual editor Upload Excel or CSV files to add or bulk update locations, images, and videos Sync map with Google Sheets - changes in sheet update map in real time Display location lists or filters for narrowing results with multi-select options Search locations, descriptions, tags; includes address/place search and radius tool Offer step-by-step navigation for tours or events with current location display Add map to any website (WordPress, Wix, Squarespace, Webflow) with simple embed code Invite team members to edit or view maps with customizable user roles and permissions View engagement metrics, map views, category clicks, and navigation paths via Google Analytics

Possible disadvantages of Mapme

  • Cost
    Mapme can be pricey, especially for small businesses or individual users, as it follows a subscription-based pricing model.
  • Feature Limitations in Free Plan
    The free version of Mapme has limited features, which might not be sufficient for more advanced or complex mapping projects.
  • Learning Curve for Advanced Features
    While basic features are easy to use, mastering advanced customization and integration options may require some time and effort.
  • Dependency on Internet Connection
    Mapme is a cloud-based service, so a stable internet connection is required to access and edit maps, which could be a limitation in areas with poor connectivity.
  • Limited Export Options
    Exporting maps for offline use or in various formats is somewhat limited, which could constrain how maps are shared and used outside the platform.
  • Data Privacy Concerns
    As with any cloud-based platform, there could be concerns about data privacy and security, particularly when dealing with sensitive or proprietary information.
  • Customization Can Be Overwhelming
    The wide range of customization options can be overwhelming for new users, making it difficult to decide which settings are most effective for their needs.

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 Mapme

Overall verdict

  • Mapme is generally considered a good choice for those looking to create engaging and interactive maps quickly and efficiently. Its accessibility and range of features make it suitable for both individuals and organizations seeking to visualize data or tell a story through maps.

Why this product is good

  • Mapme is a platform designed for creating interactive maps without requiring extensive technical knowledge. It is well-regarded for its user-friendly interface, a wide array of customization options, and the ability to embed multimedia content. Users appreciate its collaborative features, analytics, and ease of sharing, which are beneficial for community projects, storytelling, tourism, and business visualizations.

Recommended for

  • Community organizers
  • Businesses looking to visualize data geographically
  • Tourism boards and agencies
  • Educators and students
  • Event planners
  • Storytellers and journalists

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.

Mapme videos

MapMe App

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 Mapme and Plotly)
Maps
100 100%
0% 0
Data Visualization
0 0%
100% 100
Mapping And GIS
100 100%
0% 0
Charting Libraries
0 0%
100% 100

User comments

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Reviews

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

Mapme Reviews

5 Best Tools For Creating Your Own Interactive Maps
The incredible thing about Mapme is that you can try it out for free. Mapme allows anyone to build their own custom interactive map. You need to have programming knowledge to use Mapme. This tool offers a plethora of awesome features to make your map look amazing. The features of this incredible tool enable you to add events, directions and surveys etc. to the map under...

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 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.

Mapme mentions (0)

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

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
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What are some alternatives?

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

uMap - uMap let you create maps with OpenStreetMap layers in a minute and embed them in your site.

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.

Hoodmaps - Crowdsourced neighborhood 🗺 maps to navigate a city 💫

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

Google Maps - Find local businesses, view maps and get driving directions in Google Maps.

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.