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Astero Admin VS Plotly

Compare Astero Admin 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

Astero Admin logo Astero Admin

Build powerful admin interfaces with Astero Admin's responsive Bootstrap template. Features customizable dashboards, optimized performance, and seamless integration across platforms.

Plotly logo Plotly

Low-Code Data Apps
Not present
  • Plotly Landing page
    Landing page //
    2023-07-31

Astero Admin features and specs

  • Modern UI Design
    Astero Admin features a clean, modern, and visually appealing user interface design that provides a professional look suitable for dashboards and admin panels, making it easy to create polished backend applications.
  • Responsive Layout
    The template is built with a fully responsive layout that adapts seamlessly across different screen sizes and devices, including desktops, tablets, and mobile phones, ensuring a consistent user experience.
  • Rich Component Library
    Astero Admin comes with a wide variety of pre-built UI components, widgets, charts, tables, and form elements that allow developers to quickly assemble functional admin interfaces without building everything from scratch.
  • Built on Bootstrap Framework
    Being built on the popular Bootstrap framework ensures compatibility, ease of customization, and access to a well-documented ecosystem that most front-end developers are already familiar with.
  • Multiple Page Templates
    The admin template includes numerous pre-designed page templates such as login pages, error pages, profile pages, and various dashboard layouts, saving significant development time when building admin applications.

Possible disadvantages of Astero Admin

  • Limited Brand Recognition
    Astero Admin is not as widely known or adopted compared to major admin templates like AdminLTE or CoreUI, which means there may be a smaller community for support, fewer tutorials, and less third-party integration guidance available.
  • Potential Customization Complexity
    While the template offers many components, heavily customizing the design to match a unique brand identity or specific project requirements may require significant effort to override default styles and restructure layouts.
  • Dependency on Third-Party Plugins
    The template likely relies on various third-party JavaScript plugins and libraries for charts, data tables, and other features, which can introduce maintenance challenges if those plugins become outdated or deprecated.
  • Learning Curve for Full Utilization
    With a large number of components, pages, and configuration options, developers new to the template may face a learning curve in understanding the full structure and making the best use of all available features.
  • Ongoing Update Uncertainty
    As a product from a smaller digital company, there may be concerns about the frequency and longevity of updates, bug fixes, and long-term support compared to templates backed by larger development teams or open-source communities.

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 Astero Admin

Overall verdict

  • Astero Admin appears to be a niche admin dashboard/template or service offered by Astero Digital, and based on available information it seems to be a reasonably functional but not particularly standout product in a crowded market of admin templates and dashboard solutions.

Why this product is good

  • Offers admin dashboard functionality for managing digital operations
  • May include customizable UI components typical of admin templates
  • Could provide basic responsive design for cross-device management
  • Likely includes standard features like data visualization and user management

Recommended for

  • Small business owners needing basic admin panel functionality
  • Developers looking for a starting template rather than a fully custom solution
  • Users with straightforward, non-complex administrative needs
  • Teams on a budget seeking cost-effective dashboard solutions

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.

Astero Admin videos

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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 Astero Admin and Plotly)

Astero Admin

Plotly

Admin Template
100 100%
Admin Template
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Design Resources
100 100%
Design Resources
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 Astero Admin and Plotly

Astero Admin Reviews

  1. Jayesh

    Easy to understand folder structure. Perfect admin theme.

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 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.

Astero Admin mentions (0)

We have not tracked any mentions of Astero Admin yet. Tracking of Astero Admin recommendations started around Mar 2025.

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 Astero Admin and Plotly, you can also consider the following products

AdminLTE - Web-based admin dashboard & control panel template. Highly customizable and easy to use.

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.

CoreUI - Time is our most valuable asset, thatโ€™s why we want to help you save it by creating simple, customizable, easy to learn UI components and Admin Templates which significantly cut development time.

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

AdminKit - Free & premium Bootstrap 5 admin template

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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