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Inferno VS Plotly

Compare Inferno VS Plotly and see what are their differences

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Inferno logo Inferno

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

Plotly logo Plotly

Low-Code Data Apps
  • Inferno Landing page
    Landing page //
    2023-05-11
  • Plotly Landing page
    Landing page //
    2023-07-31

Inferno features and specs

  • High Performance
    Inferno is known for its impressive speed and performance, often comparable to or surpassing many other front-end frameworks and libraries, making it suitable for high-performance applications.
  • React-Like API
    Inferno uses a similar API to React, which makes it easier for developers who are already familiar with React to transition to or integrate Inferno.
  • Compatibility
    Due to its React-like API, Inferno can work with many existing React components and libraries, enhancing its versatility and integration capabilities.
  • Small Size
    Inferno has a small footprint, reducing load times and improving overall application performance, especially on mobile devices and slower networks.
  • Server-Side Rendering
    Inferno supports server-side rendering out of the box, allowing for faster initial page loads and better SEO.

Possible disadvantages of Inferno

  • Smaller Community
    Inferno has a smaller community and ecosystem compared to more widely used libraries and frameworks like React, potentially leading to fewer resources, plugins, and support.
  • Limited Third-Party Libraries
    While compatibility with React libraries is a strength, there are still fewer third-party libraries specifically designed for Inferno, which can limit development options in some scenarios.
  • Learning Curve
    For developers who are not familiar with React, there can be a learning curve associated with understanding the Inferno API and concepts.
  • Infrequent Updates
    Compared to larger projects like React, Inferno may have less frequent updates and new feature releases, which can impact the adoption of the latest web development trends.
  • Less Market Demand
    There is currently less market demand for developers proficient in Inferno compared to those skilled in more popular frameworks and libraries, potentially affecting job prospects and opportunities.

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 Inferno

Overall verdict

  • Inferno is considered a good option for developers who prioritize performance and need a library that offers React-like features with potentially enhanced speed. Its active community, clear documentation, and ease of use contribute to its positive reception.

Why this product is good

  • Inferno is a modern JavaScript library specifically designed for building high-performance user interfaces. It is well-regarded for its lightweight size, fast rendering speed, and compatibility with React, making it a suitable choice for applications that require high performance and efficiency.

Recommended for

  • Developers looking for a faster alternative to React
  • Projects with performance-critical requirements
  • Teams with existing React knowledge seeking a complementary or alternative library
  • Applications targeting environments with limited resources

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.

Inferno videos

+ Add

Inferno - Movie Review

More videos:

  • Review - Inferno - Movie Review
  • Review - Inferno - Official Movie Review

Plotly videos

+ Add

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 Inferno and Plotly)

Inferno

Plotly

Javascript UI Libraries
100 100%
Javascript UI Libraries
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
JavaScript Framework
100 100%
JavaScript Framework
0% 0
Data Dashboard
0 0%
Data Dashboard
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 Inferno and Plotly

Inferno Reviews

The Best JavaScript Frameworks You’re Not Using
There isn’t an overall number we can use to gauge performance on the chart above, but smaller numbers are better. Obviously, Inferno performs very well again. If you’re a React developer and have a project that requires excellent performance, Inferno is definitely something you should consider. We’ll finish with this from the Inferno “About” page:
Source: jsreport.io

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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Inferno. While we know about 33 links to Plotly, we've tracked only 2 mentions of Inferno. 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.

Inferno mentions (2)

  • Solid vs React - the Fastest VS the Most Popular UI Library
    Some might argue that React’s relatively poor performance (it’s still plenty-fast for many apps) is due to Virtual DOM and prioritization of development experience, i.e., clarity over complexity. To counter the first argument - there’s React-like Inferno. For the second one - there’s Solid. - Source: dev.to / almost 4 years ago
  • A Look at Compilation in JavaScript Frameworks
    A VDOM library like Inferno uses this information to compile its JSX directly into pre-optimized node structures. Marko, and Vue hoist their static VDOM nodes outside of their components so that they don't incur the overhead of recreating them on every render. - Source: dev.to / almost 4 years ago

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 / 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 / 6 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 / 12 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 Inferno and Plotly, you can also consider the following products

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

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.

Svelte - Cybernetically enhanced web apps

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

Deku - Functional view library for building UI components as an alternative to React

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

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