Software Alternatives, Accelerators & Startups

Plotly VS Can I use

Compare Plotly VS Can I use and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Can I use logo Can I use

Compatibility tables for support of HTML5, CSS3, SVG and more in desktop and mobile browsers.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Can I use Landing page
    Landing page //
    2023-10-23

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.

Can I use features and specs

  • Comprehensive Data
    Can I use provides an extensive database of feature support across different web browsers, including historical data and current trends.
  • User-Friendly Interface
    The website offers a clear, easy-to-navigate interface that allows users to search for specific features and view compatibility details quickly.
  • Regular Updates
    The data is regularly updated to reflect the latest changes in browser support, ensuring users have access to current information.
  • Global Usage Statistics
    Can I use includes global usage statistics for each feature, helping developers understand the practical implications of using certain web technologies.
  • Customizable Settings
    Users can customize their search results based on specific browsers or geographic regions, providing more tailored information.

Possible disadvantages of Can I use

  • Complexity for Beginners
    The wealth of information and various options can be overwhelming for beginners who may not be familiar with all the terminology and how to interpret the data.
  • Focus on Web Technologies
    The site is primarily focused on web browsers and might not be useful for developers working on other platforms or in environments where browser compatibility is not a concern.
  • Delayed Data for New Features
    There can be a lag in the availability of data for newly released browser features, leading to a temporary gap in information.
  • Requires Internet Access
    Access to the service requires an internet connection, which might not always be feasible for all users, particularly in remote or restricted environments.
  • Potential Data Overload
    The site provides a significant amount of detail, which can be both a boon and a burden, as it might lead to information overload for some users.

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

Can I use videos

Book Review: How Can I Use Herbs in My Daily Life by Isabel Shipard

Category Popularity

0-100% (relative to Plotly and Can I use)
Data Visualization
100 100%
0% 0
Website Testing
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Browser Testing
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 Can I use

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.

Can I use Reviews

We have no reviews of Can I use yet.
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Social recommendations and mentions

Based on our record, Can I use seems to be a lot more popular than Plotly. While we know about 381 links to Can I use, we've tracked only 33 mentions of Plotly. 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 (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 / about 1 month 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 / 3 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 / 5 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 / 11 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

Can I use mentions (381)

  • 5 best open source tools for cross-browser CSS testing
    Automated browser compatibility: PostCSS Autoprefixer scans CSS and applies vendor prefixes based on up-to-date browser data from Can I Use. This means developers don’t need to manually add prefixes or worry about outdated ones cluttering their stylesheets. - Source: dev.to / 16 days ago
  • JavaScript Views, the Hard Way – A Pattern for Writing UI
    I think it’s because that repo is from 7 years ago, when browser support[1][2] for components wasn’t as widespread or comprehensive. [1] See the history section of https://en.m.wikipedia.org/wiki/Web_Components [2] https://caniuse.com/?search=web%20components. - Source: Hacker News / 21 days ago
  • Xee: A Modern XPath and XSLT Engine in Rust
    Fun fact: XSLT still enjoys broad support across all major browsers: https://caniuse.com/?search=xslt. - Source: Hacker News / about 1 month ago
  • Show HN: Splash – A Real-Time Fluid Simulation in Browsers Implemented in WebGPU
    According to https://caniuse.com/?search=webgpu I should be able to use Edge and Opera, but neither works; I'm on Linux Mint, if that makes a difference. - Source: Hacker News / about 2 months ago
  • Minding the gaps: A new way to draw separators in CSS
    Wild! Every browser seems to support yet it's deprecated: https://caniuse.com/?search=frame. - Source: Hacker News / about 2 months ago
View more

What are some alternatives?

When comparing Plotly and Can I use, 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.

CSS-Tricks - CSS-Tricks is a website about websites.

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

Browsershots - Browsershots makes screenshots of your web design in different browsers.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

browserling - Live interactive cross-browser testing from your browser.