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Plotly VS Gibbon

Compare Plotly VS Gibbon and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Plotly logo Plotly

Low-Code Data Apps

Gibbon logo Gibbon

Created by teachers, Gibbon is the school platform which solves real problems encountered by educators every day.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Gibbon Landing page
    Landing page //
    2023-02-05

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.

Gibbon features and specs

  • Comprehensive Features
    Gibbon offers a wide range of features such as gradebooks, attendance tracking, student profiles, and scheduling, making it a robust solution for educational administration.
  • Open Source
    Being open-source, Gibbon is free to use and can be customized extensively to meet the specific needs of a school or educational institution.
  • User Community
    A strong community of users and developers contribute to the platform, offering support, plugins, and new features regularly.
  • Modular Design
    Gibbon’s modular design allows institutions to select only the modules they need, keeping the interface uncluttered and relevant.
  • Multilingual Support
    Supports multiple languages, making it suitable for use in educational institutions around the world.
  • Extensive Documentation
    Provides comprehensive documentation and tutorials, making it easier for administrators and teachers to get up to speed.

Possible disadvantages of Gibbon

  • Technical Expertise Required
    Implementing and customizing Gibbon can require a good level of technical knowledge, which might be a barrier for some schools.
  • Limited Off-the-Shelf Integrations
    While highly customizable, Gibbon does not offer as many pre-built integrations with other educational tools compared to some commercial solutions.
  • User Interface Complexity
    The wealth of features can make the user interface seem overwhelming to new users and may require training to navigate effectively.
  • Maintenance Responsibility
    As an open-source platform, schools are responsible for their own updates and maintenance, which can be resource-intensive.
  • Performance Issues
    Depending on the server setup and the scale of use, there may be performance issues that need to be addressed.

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

+ 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

Gibbon videos

+ Add

Ozzy Man Reviews: Gibbon vs Tigers

More videos:

  • Review - The Gibbon Experience
  • Review - Unboxing and Review of Monkey-Banana Gibbon Air 4" Studio Speakers

Category Popularity

0-100% (relative to Plotly and Gibbon)

Plotly

Gibbon

Data Visualization
100 100%
Data Visualization
0% 0
Education & Reference
0 0%
Education & Reference
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
School Management
0 0%
School Management
100% 100

User comments

Share your experience with using Plotly and Gibbon. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and Gibbon

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

Gibbon Reviews

We have no reviews of Gibbon yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Gibbon. While we know about 34 links to Plotly, we've tracked only 1 mention of Gibbon. 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 / 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
View more

Gibbon mentions (1)

  • Anything you wish there was an open source solution for?
    Is it something like: https://gibbonedu.org/ Gibbon is opensource. Source: over 3 years ago

What are some alternatives?

When comparing Plotly and Gibbon, 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.

Planet Web Solution - Planet School Management is a smart ERP system that provides various functionalities for the user to interact within a single platform and access multiple types of models related to the year p and supported module for the school management system.

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

Fedena - Fedena is a multipurpose college and school management software, it is used by 40K+ education institutions worldwide to automate administration & academic-related activities.

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.

EZ School Apps - EZ School Apps developed inexpensive, cloud based school admin software such as school lunch ordering, substitute management, after school care, and online payments.

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