Software Alternatives, Accelerators & Startups

Glympse VS Plotly

Compare Glympse VS Plotly and see what are their differences

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Glympse logo Glympse

Glympse is the easy way to safely share your location in realtime. No sign-up needed.

Plotly logo Plotly

Low-Code Data Apps
  • Glympse Landing page
    Landing page //
    2023-07-31
  • Plotly Landing page
    Landing page //
    2023-07-31

Glympse features and specs

  • Real-time Location Sharing
    Glympse provides real-time location sharing, which allows users to share their live location with friends, family, or colleagues for a specified period. This is particularly useful for coordinating meetups or ensuring safety.
  • Ease of Use
    The application features a user-friendly interface that makes it simple to send and receive location data. Users do not need a Glympse account to view shared locations, making it accessible to a wide range of users.
  • Cross-platform Compatibility
    Glympse is available on multiple platforms, including iOS, Android, and web browsers, which ensures that users can share and view locations regardless of their device.
  • Privacy Controls
    Users have full control over who can see their location and for how long. Locations are only shared temporarily and automatically expire, reducing privacy concerns.
  • Integration Capabilities
    Glympse can be integrated with various apps and services, including social media platforms and messaging applications, enhancing its functionality and reach.

Possible disadvantages of Glympse

  • Battery Consumption
    The continuous use of GPS for real-time location tracking can lead to significant battery drain on mobile devices, which can be inconvenient for users.
  • Data Usage
    Sharing and receiving location data in real-time can consume mobile data, which might be a concern for users with limited data plans.
  • Privacy Concerns
    While Glympse offers good privacy controls, there is always a risk involved with sharing one's location, especially if the information is inadvertently shared with unintended recipients.
  • Limited Offline Functionality
    The app relies heavily on internet connectivity, limiting its functionality in areas with poor or no network coverage.
  • Feature Set
    Compared to some competitors, Glympse may have a more limited feature set, lacking advanced functionalities like geofencing or detailed location histories.

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 Glympse

Overall verdict

  • Glympse is generally considered a good tool for anyone needing to share their location temporarily. It is well-received for its user-friendly interface and effective functionality in real-time location sharing.

Why this product is good

  • Glympse is a location-sharing application known for its ease of use and real-time tracking capabilities. It allows users to share their whereabouts with friends, family, or colleagues temporarily, which enhances security and convenience. The platform is valued for its privacy controls, as location sharing can be time-limited and does not require creating an account for viewing.

Recommended for

  • Individuals who need to share their location with friends or family as a safety precaution.
  • Professionals coordinating meet-ups or logistics who benefit from real-time tracking.
  • Parents or guardians wanting to keep track of their children’s whereabouts for security reasons.

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.

Glympse videos

App Review: Glympse

More videos:

  • Review - Glympse - App Review - Share your location

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 Glympse and Plotly)
Mobile OS
100 100%
0% 0
Data Visualization
0 0%
100% 100
Mobile Apps
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 Glympse and Plotly

Glympse Reviews

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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 a lot more popular than Glympse. While we know about 34 links to Plotly, we've tracked only 1 mention of Glympse. 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.

Glympse mentions (1)

  • The earth is flat, Birds aren't real and SrGrafo can't like things
    Aah yes a Glympse of popularity. I know what you’re up to. Source: about 5 years ago

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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