Software Alternatives, Accelerators & Startups

Plotly VS Glimmer

Compare Plotly VS Glimmer and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Glimmer logo Glimmer

Fast and light-weight UI components for the web
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Glimmer Landing page
    Landing page //
    2022-03-12

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.

Glimmer features and specs

  • Lightweight
    Glimmer is known for being lightweight, meaning it requires fewer resources and loads quickly, which enhances performance, particularly for applications that require high speed and efficiency.
  • Fast Re-rendering
    The library is optimized for fast re-rendering, allowing it to efficiently update the UI in response to changes in application state, which is crucial for maintaining a smooth user experience.
  • Component Model
    Glimmer employs a component-based architecture, promoting reusability and modularity of code, making it easier to manage and scale applications.
  • Integration with Ember.js
    As a core rendering engine for Ember.js, Glimmer can be effortlessly integrated into existing Ember applications, benefiting from the ecosystem and tools available for Ember.

Possible disadvantages of Glimmer

  • Learning Curve
    Developers new to Glimmer may experience a steep learning curve, particularly if they are not familiar with its conventions and component-based architecture.
  • Smaller Community
    Compared to larger frameworks like React or Angular, Glimmer has a smaller community and less online support, which can be a challenge when trying to find solutions to issues or seeking guidance.
  • Limited Standalone Usage
    While Glimmer can be used independently, it is primarily designed to work within the Ember.js ecosystem, limiting its standalone usage and flexibility compared to other libraries.
  • Mature Alternatives
    The presence of more mature alternatives like React, Angular, and Vue.js means that Glimmer may not always be the first choice, especially for developers seeking libraries with extensive features and community support.

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

Glimmer videos

Jacaszek- Glimmer ALBUM REVIEW

More videos:

  • Review - Fmg Glimmer Satin Lipstick Review + Swatches โœจ
  • Review - Glimmer & Chameleon Plastic Review

Category Popularity

0-100% (relative to Plotly and Glimmer)
Data Visualization
100 100%
0% 0
Javascript UI Libraries
45 45%
55% 55
Charting Libraries
100 100%
0% 0
Development
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 Glimmer

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 thatโ€™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.

Glimmer Reviews

Best Javascript libraries to use in 2021
Glimmer.js features lighter components and a smaller size, and it uses the robust Ember CLI. It can be used with Ember.js as a component, it can run standalone, or it can be added as a web component to an existing application. It is not the time to talk whether it has been successful or not since itโ€™s been only 4 years, but the trends point towards a bright future for Glimmer.
Source: codersera.com

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Glimmer. While we know about 34 links to Plotly, we've tracked only 2 mentions of Glimmer. 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 / 4 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!๐Ÿค“
    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 / over 1 year 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
View more

Glimmer mentions (2)

  • Glimmer: DSL Framework for Ruby GUI and More
    Note there is already UI component framework called Glimmer that is used by Ember.js: https://glimmerjs.com/. - Source: Hacker News / over 1 year ago
  • 12 Useful JavaScript Libraries Youโ€™ve Probably Never Used
    Glimmer.js is a great library that helps with user interface components and DOM rendering. It is built on the Ember CLI and uses Git, Node. js, npm, and Yarn. If you are looking for a tool for creating components and want to optimize the process of working with them, pay attention to Glimmer. - Source: dev.to / over 3 years ago

What are some alternatives?

When comparing Plotly and Glimmer, 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.

Preact.js - Preact is a fast 3kB alternative to React with the same modern API. Components & Virtual DOM.

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

Svelte - Cybernetically enhanced web apps

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.

Inferno - An extremely fast React-like javascript library for building modern user interfaces.