Software Alternatives & Startups

Canvas by Instructure VS Plotly

Compare Canvas by Instructure VS Plotly and see what are their differences

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Canvas by Instructure logo Canvas by Instructure

The Canvas LMS is the world's fastest growing learning management system. Check out favorite features and schedule a live demo!

Plotly logo Plotly

Low-Code Data Apps
  • Canvas by Instructure Landing page
    Landing page //
    2023-09-11
  • Plotly Landing page
    Landing page //
    2023-07-31

Canvas by Instructure features and specs

  • User-Friendly Interface
    Canvas is designed with a simple, clean interface that is easy for both instructors and students to navigate, reducing the learning curve.
  • Customizable
    Canvas offers extensive customization options, allowing institutions to tailor the platform to their specific needs and branding.
  • Integration Capabilities
    Canvas supports a wide range of third-party integrations, including popular educational tools and services, increasing its adaptability.
  • Mobile App
    Canvas provides a robust mobile app that allows students and teachers to access course materials, submit assignments, and engage in discussions on the go.
  • Active Community and Support
    Canvas has a large community of users who share resources and strategies, as well as extensive support options including guides, tutorials, and customer service.
  • Robust Analytics
    Canvas includes powerful analytics tools that allow educators to track student performance and engagement, facilitating data-driven decisions.

Possible disadvantages of Canvas by Instructure

  • Cost
    The pricing for Canvas can be high, particularly for smaller institutions, and additional costs may be incurred for certain premium features or integrations.
  • Learning Curve for Advanced Features
    While the basic features are straightforward, more advanced functionalities can have a steeper learning curve, requiring time and training to utilize fully.
  • Occasional Downtime
    Some users have reported occasional downtime or slow performance, which can be disruptive to the teaching and learning process.
  • Limited Offline Access
    Canvas's offline access features are somewhat limited, making it difficult for students and instructors to work without a stable internet connection.
  • Support Response Time
    While Canvas offers comprehensive support, some users have experienced slower response times for resolving issues, especially during peak usage periods.
  • Complexity for Large Courses
    Managing very large courses with many students can be complex and require more administrative effort, which can be cumbersome without adequate support.

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 Canvas by Instructure

Overall verdict

  • Overall, Canvas by Instructure is considered a strong choice for educational institutions seeking a reliable and effective learning management system. Its emphasis on simplicity without sacrificing functionality makes it a popular option among schools, colleges, and universities.

Why this product is good

  • Canvas by Instructure is highly regarded for its user-friendly interface, robust set of features, and flexibility. It's designed to facilitate teaching and learning through customizable course creation, a wide range of integrations with other educational tools, and comprehensive analytics to track student progress. Instructors and students alike appreciate its intuitive navigation and accessibility, which supports a positive educational experience.

Recommended for

    Canvas is recommended for educational institutions of all sizes, from K-12 schools to higher education establishments. It is particularly beneficial for environments where both online and blended learning are prominent, and where there is a need for strong analytical tools to track and enhance student performance. Additionally, institutions looking for a customizable and scalable LMS solution will find Canvas suitable to their needs.

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.

Canvas by Instructure videos

CANVAS BEAUTY HAIR GROWTH SERUM 💕 PRODUCT REVIEW!

More videos:

  • Review - Canvas Beauty Brand | 3 Month Product Review Update
  • Review - Canvas Beauty Hair Growth Serum RESULTS| 30 Day Challenge Results

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 Canvas by Instructure and Plotly)
Education
100 100%
0% 0
Data Visualization
0 0%
100% 100
Other Education Tech
100 100%
0% 0
Charting Libraries
0 0%
100% 100

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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 more popular. 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.

Canvas by Instructure mentions (0)

We have not tracked any mentions of Canvas by Instructure yet. Tracking of Canvas by Instructure recommendations started around Mar 2021.

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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What are some alternatives?

When comparing Canvas by Instructure and Plotly, you can also consider the following products

PowerSchool - PowerSchool provides a K-12 education technology platform for operations, classroom, student growth, and family engagement.

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.

Teachable - Create and sell beautiful online courses with the platform used by the best online entrepreneurs to sell $100m+ to over 4 million students worldwide.

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

Clever - syncing between education applications for K-12 schools

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.