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AppSeed.us VS Plotly

Compare AppSeed.us 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

AppSeed.us logo AppSeed.us

Full-Stack App Generator that allows you to choose a visual theme and apply it on a Full-Stack in just a few minutes.

Plotly logo Plotly

Low-Code Data Apps
  • AppSeed.us Landing page
    Landing page //
    2023-09-26
  • Plotly Landing page
    Landing page //
    2023-07-31

AppSeed.us features and specs

  • Variety of Templates
    AppSeed offers a wide range of templates and themes for different frameworks like Flask, Django, and React, which can accelerate the development process and offer a starting point for different types of projects.
  • Modern UI Designs
    The templates provided by AppSeed incorporate modern and responsive UI designs, which can enhance the user experience and make applications look professional.
  • Code Quality
    The templates are built following best practices, ensuring clean, maintainable, and scalable codebases that developers can rely on as robust foundations for their projects.
  • Time Saving
    By using pre-built templates, developers can save significant time in their development process, allowing them to focus more on the unique features of their application.
  • Integration with Popular Frameworks
    AppSeed offers integration with popular frameworks and libraries which allows developers to seamlessly work with familiar technologies for faster and easier implementation.

Possible disadvantages of AppSeed.us

  • Cost
    While many of the basic templates are free, some advanced or premium templates and services incur a cost, which might be a downside for developers or small businesses with limited budgets.
  • Learning Curve
    Although the templates are pre-built, developers may encounter a learning curve to understand the structure and components of the template, especially if they're unfamiliar with the specific framework used.
  • Customization Limitations
    While templates offer a strong starting point, developers might find limitations in customization options which can be a hindrance when specific, unique features are required.
  • Dependency on External Resources
    Using third-party templates and themes could create a dependency on external resources, which may pose challenges if the templates are not regularly updated or maintained.
  • Generic Designs
    Some templates might come with generic designs that could require additional effort to customize them to fit the specific branding or design needs of a project.

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 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.

AppSeed.us 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 AppSeed.us and Plotly)

AppSeed.us

Plotly

Software Development
100 100%
Software Development
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Website Builder
100 100%
Website Builder
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 AppSeed.us and Plotly

AppSeed.us 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.
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 should be more popular than AppSeed.us. 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.

AppSeed.us mentions (9)

  • AppSeed Black Friday - 75% Discount (all products)
    This article mentions the Black Friday offer that is active during 15-30.NOV timeframe. This year all AppSeed products are discounted with 75% applicable to all licenses. Here is a video material that explains how to use the BF coupon "BF2022" and claim this discount. - Source: dev.to / over 3 years ago
  • AppSeed.us - Does anyone know about it?
    Hello guys, I'm looking around for Django boilerplates and I've just discovered https://appseed.us/. Source: about 4 years ago
  • Want to succeed? Be a fearless rat | AppSeed
    Usually, I'm writing about automation and seed projects. Well, this time the post is about a dummy video published on yTube that helps me to keep going with my startUp during the hard times. Thanks in advance! - Source: dev.to / about 4 years ago
  • App Generator - Code a simple Dashboard using AppSeed
    This article explains how to use AppSeed to generate a simple Flask Dashboard using a visual interface. Users can access the service without an account, generate a new project based on their selections and download the code from Github (MIT License). - Source: dev.to / about 4 years ago
  • AppSeed - New Version
    The new version of AppSeed is LIVE. The platform has been redesigned to offer a better user experience and complete refactoring over site structure. For newcomers, AppSeed is a platform that uses automation tools to generate tested, production-ready starters. - Source: dev.to / over 4 years ago
View more

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
View more

What are some alternatives?

When comparing AppSeed.us and Plotly, you can also consider the following products

Divjoy - The React codebase generator.

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.

Stackbit - Build Modern JAMstack Websites in Minutes. Combine any Theme, Site Generator and CMS without complicated integrations.

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

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