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AngularStrap VS Plotly

Compare AngularStrap VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

AngularStrap logo AngularStrap

AngularJS 1.2+ native directives for Twitter Bootstrap 3.

Plotly logo Plotly

Low-Code Data Apps
  • AngularStrap Landing page
    Landing page //
    2021-10-01
  • Plotly Landing page
    Landing page //
    2023-07-31

AngularStrap features and specs

  • Integration with Bootstrap
    AngularStrap is designed to work seamlessly with Twitter Bootstrap, allowing developers to utilize Bootstrap's styles and components while enhancing them with AngularJS directives. This can lead to a more cohesive design and functionality alignment between CSS and JavaScript.
  • Modular Components
    AngularStrap provides a set of modular components such as tooltips, modals, and dropdowns which are easy to integrate and use. These components follow AngularJS principles like two-way data binding, making them more intuitive for AngularJS developers.
  • Lightweight
    Compared to some other UI frameworks integrated with AngularJS, AngularStrap is relatively lightweight, as it adds only those features that are necessary to link Bootstrap and AngularJS, minimizing additional overhead.
  • Easy Customization
    AngularStrap allows easy customization of the components to fit the needs of the application. Developers can modify templates and behaviors while leveraging Bootstrap's foundational styles.

Possible disadvantages of AngularStrap

  • Limited to Bootstrap
    AngularStrap is specifically designed for use with Bootstrap, which may not be ideal for projects that do not wish to use Bootstrap as their base CSS framework.
  • AngularJS Dependency
    AngularStrap is built for AngularJS, which is an older version of Angular. As many projects move to the newer Angular versions (Angular 2+), the lack of support for these versions makes AngularStrap less versatile in modern application development.
  • Maintenance and Updates
    As AngularStrap is dependent on both AngularJS and Bootstrap, maintenance and keeping up to date with major updates in both libraries can introduce compatibility issues or require additional effort.
  • Learning Curve for Non-Bootstrap Users
    For developers unfamiliar with Bootstrap, there can be an additional learning curve to effectively use AngularStrap as they will need to understand Bootstrap's component structure and styling conventions.

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 AngularStrap

Overall verdict

  • AngularStrap was a solid, well-crafted set of native AngularJS directives for Bootstrap components in its time, but it is now largely obsolete since it targets AngularJS (1.x), which has reached end-of-life. It's only a good choice for maintaining legacy projects, not for new development.

Why this product is good

  • Provides native AngularJS directives for Bootstrap 3 components without requiring jQuery
  • Lightweight and modular, letting you include only the directives you need
  • Well-documented with clear examples for common UI components like modals, tooltips, popovers, datepickers, and typeahead
  • Was widely adopted and battle-tested within the AngularJS 1.x ecosystem
  • Integrates cleanly with Angular's digest cycle and data-binding model

Recommended for

  • Teams maintaining existing legacy AngularJS 1.x applications that already use Bootstrap 3
  • Projects that need jQuery-free Bootstrap components within an AngularJS codebase
  • Developers looking for a proven directive library for older Angular apps that cannot be immediately migrated

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.

AngularStrap videos

No AngularStrap videos yet. You could help us improve this page by suggesting one.

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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 AngularStrap and Plotly)

AngularStrap

Plotly

Design Tools
100 100%
Design Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Development Tools
100 100%
Development Tools
0% 0
Charting Libraries
0 0%
Charting Libraries
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 AngularStrap and Plotly

AngularStrap Reviews

We have no reviews of AngularStrap yet.
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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.
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 thatโ€™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 AngularStrap. While we know about 34 links to Plotly, we've tracked only 1 mention of AngularStrap. 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.

AngularStrap mentions (1)

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 / 4 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!๐Ÿค“
    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 / over 1 year 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 AngularStrap and Plotly, you can also consider the following products

Angular UI Bootstrap - AngularJS (Angular) native directives for Bootstrap.

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.

React Router - React Router is a routing for React.js, that synchronizes the components of application with the URL & supports server side rendering.

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

styled-components - styled-components is a visual primitive for the component age that also helps the user to use the ES6 and CSS to style apps.

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.

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