Software Alternatives, Accelerators & Startups

Plotly VS uMap

Compare Plotly VS uMap and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

uMap logo uMap

uMap let you create maps with OpenStreetMap layers in a minute and embed them in your site.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • uMap Landing page
    Landing page //
    2023-07-30

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.

uMap features and specs

  • Open Source
    uMap is open source, which means it can be freely used, modified, and distributed by anyone. This ensures transparency and flexibility for developers.
  • Customizability
    uMap allows users to create custom maps with versatile features such as markers, lines, and shapes, catering to specific user needs.
  • Integration with OpenStreetMap
    uMap integrates seamlessly with OpenStreetMap, providing users with accurate, up-to-date geographical data.
  • Ease of Use
    The platform is user-friendly and does not require extensive technical knowledge to start creating custom maps.
  • Sharing and Embedding
    Maps created on uMap can be shared via links or embedded in websites, enhancing their accessibility and reach.
  • No Registration Required
    Users can create maps without needing to register, simplifying the process and lowering the barrier to entry.

Possible disadvantages of uMap

  • Limited Advanced Features
    Compared to other GIS tools, uMap might lack some advanced features and customizations that professionals might require.
  • Performance Issues
    Large or complex maps may experience performance issues, affecting the usability and responsiveness of the platform.
  • Dependency on OpenStreetMap Data
    While OpenStreetMap is generally accurate, it may lack detailed data in some regions, which could limit the applicability of uMap in those areas.
  • Reliability and Support
    As an open-source project without a dedicated commercial backing, uMap might have less reliable support and fewer frequent updates compared to proprietary solutions.
  • Learning Curve
    While relatively easy to use, new users might still encounter a learning curve when first interacting with the tool, especially if they are not familiar with mapping concepts.

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.

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

uMap videos

UMAP Uniform Manifold Approximation and Projection for Dimension Reduction | SciPy 2018 |

More videos:

  • Review - Paper Review Call 019 - UMAP
  • Review - PyData Ann Arbor: Leland McInnes | PCA, t-SNE, and UMAP: Modern Approaches to Dimension Reduction

Category Popularity

0-100% (relative to Plotly and uMap)
Data Visualization
100 100%
0% 0
Maps
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Web Mapping
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 Plotly and uMap

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.

uMap Reviews

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

Social recommendations and mentions

Based on our record, Plotly should be more popular than uMap. 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
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uMap mentions (20)

  • Umap Project
    Https://umap.openstreetmap.fr/en/ https://umap.openstreetmap.de/en/ probably more instances out there, you can also host your own. - Source: Hacker News / about 2 years ago
  • How to share PoI with other users?
    I haven't tried but I bet you could also import it into a uMap. Source: over 3 years ago
  • Share your trips here!
    If you prefer not to use proprietary, walled-off services like Strava I recommend Umap which has some great map editing Functionality and allows sharing links or even exporting the maps as JSON. Source: over 3 years ago
  • Self hosted POI map?
    I'm not hosting it myself but I'm using the open-source OSM uMap (https://umap.openstreetmap.fr/en/) with a custom layer that points to a GeoJSON endpoint on my webserver. Source: over 3 years ago
  • collaboration between 9 users
    That being said, http://umap.openstreetmap.fr/en/ exists. This is a website where one can make a small map, personal or shared with friends who can edit. Source: almost 4 years ago
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What are some alternatives?

When comparing Plotly and uMap, 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.

Mapme - Build smart and beautiful maps within minutes with no coding

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

Mapbox Studio - A design platform for radically custom 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.

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