Software Alternatives, Accelerators & Startups

Plotly VS Dojo Toolkit

Compare Plotly VS Dojo Toolkit and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Dojo Toolkit logo Dojo Toolkit

Dojo Toolkit
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Dojo Toolkit Landing page
    Landing page //
    2021-10-19

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.

Dojo Toolkit features and specs

  • Comprehensive Suite of Tools
    Dojo Toolkit provides a wide range of tools and utilities, including a robust widget system (Dijit), a high-performance 2D drawing API (Dojo GFX), and a powerful data manipulation library (Dojo Store). This makes it a one-stop solution for many development needs.
  • Modular Design
    The toolkit is designed to be modular, allowing developers to include only the specific components they need, which can help in reducing the overall footprint of the application.
  • Performance Optimization
    Dojo employs techniques such as code splitting, lazy loading, and efficient DOM manipulation, which can contribute to high performance and faster load times in applications.
  • Cross-Browser Compatibility
    Dojo has built-in mechanisms to handle a variety of browsers, ensuring consistent behavior and appearance across different platforms, which reduces the overhead of writing custom code for compatibility.
  • Strong Community and Documentation
    With an active community and extensive documentation, developers can find solutions to common problems quickly. The well-documented API and numerous tutorials make the learning curve manageable.

Possible disadvantages of Dojo Toolkit

  • Steep Learning Curve
    Due to its comprehensive feature set and unique conventions, Dojo can be difficult for beginners to learn compared to more modern, simpler frameworks.
  • Large File Size
    Even though Dojo is modular, including multiple functionalities can lead to larger file sizes, which may affect the loading time of applications, especially in low-bandwidth environments.
  • Less Popularity
    Dojo has seen a decline in popularity compared to more modern frameworks like React, Angular, and Vue.js. This has led to fewer new learning resources, plugins, and community contributions.
  • Complexity in Configuration
    Setting up and configuring Dojo can be complex, requiring a deep understanding of its build system and configuration options.
  • Fragmented Ecosystem
    With the evolution of JavaScript frameworks, not all projects and plugins are maintained actively. This fragmentation can result in developers having to do additional work to integrate or update certain features.

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.

Analysis of Dojo Toolkit

Overall verdict

  • Dojo Toolkit can be considered a good framework, particularly for projects that require a stable and feature-rich solution. While it has seen less popularity compared to newer frameworks like React, Vue, or Angular, it still holds its ground for specific use cases, particularly in enterprise environments where stability and comprehensive features are critical.

Why this product is good

  • The Dojo Toolkit has been a solid choice for web developers looking for a comprehensive JavaScript framework. It offers a range of features, including modularity, rich UI components, and cross-browser compatibility. Its Asynchronous Module Definition (AMD) approach allows for efficient code organization and loading. Moreover, Dojo provides extensive documentation and a supportive community, making it easier to overcome implementation challenges.

Recommended for

    The Dojo Toolkit is recommended for developers working on enterprise applications that demand a robust and reliable framework, projects requiring detailed documentation and long-term support, and applications that benefit from its legacy features and back-end integrations.

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

Dojo Toolkit videos

Building High Performance Web Applications with the Dojo Toolkit

More videos:

  • Demo - Dojo Toolkit V1.0 Script Demo (Free After Effects Script)

Category Popularity

0-100% (relative to Plotly and Dojo Toolkit)
Data Visualization
100 100%
0% 0
Developer Tools
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Web Frameworks
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 Dojo Toolkit

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.

Dojo Toolkit Reviews

Top 20 Javascript Libraries
The Dojo is an open-source JavaScript library that helps develop cross-platform, JS, and Ajax-based web sites in a faster manner. DOJO has a vast set of APIs and modules. There are several parts in DOJO toolkit
Source: hackr.io

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Dojo Toolkit. While we know about 33 links to Plotly, we've tracked only 3 mentions of Dojo Toolkit. 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 / 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 / 5 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

Dojo Toolkit mentions (3)

  • Show HN: Alpine Ajax – If Htmx and Alpine.js Had a Baby
    I also remember Dojo, Dijit and DojoX. It was a powerful web framework. https://dojotoolkit.org. - Source: Hacker News / over 1 year ago
  • Technical arguments for choosing React
    React is open sourced and maintained by a large organization. It's unlikely to go away due to lack of support (looking at you Dojo). By using react you are not re-inventing the wheel and it is a skillset that will be used for gainful employment with actual companies. Source: over 3 years ago
  • Intro to ViteJS
    If the project was big enough, there were tools like jsmin. If the project warranted it, I would use Dojo Toolkit, which could probably make me a sandwich if I wanted it to. - Source: dev.to / over 3 years ago

What are some alternatives?

When comparing Plotly and Dojo Toolkit, 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.

Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications

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

Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...

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

Django - The Web framework for perfectionists with deadlines