Software Alternatives, Accelerators & Startups

AppsGeyser VS Plotly

Compare AppsGeyser VS Plotly and see what are their differences

AppsGeyser logo AppsGeyser

Appsgeyser is the easiest to use DIY native mobile app creation platform.

Plotly logo Plotly

Low-Code Data Apps
  • AppsGeyser Landing page
    Landing page //
    2023-07-24
  • Plotly Landing page
    Landing page //
    2023-07-31

AppsGeyser features and specs

  • User-Friendly Interface
    AppsGeyser offers a straightforward, easy-to-navigate interface that allows users with no coding experience to create apps quickly.
  • Cost-Effective
    The platform provides free options for app creation, making it accessible for individuals and small businesses.
  • Fast Development
    Apps can be generated quickly using predefined templates and step-by-step guides, speeding up the development process.
  • Various Templates
    AppsGeyser offers a wide variety of templates for different kinds of applications including browsers, messengers, and games.
  • Webview Feature
    Users can easily convert their websites into mobile apps via the webview feature, streamlining the process.

Possible disadvantages of AppsGeyser

  • Limited Functionality
    While it is easy to use, AppsGeyser offers limited customization options compared to traditional app development methods.
  • Ads and Revenue Sharing
    The free version includes Ads and requires users to share a portion of their generated revenue with AppsGeyser.
  • Data Privacy
    As a third-party service, data privacy concerns may arise, particularly for applications dealing with sensitive information.
  • App Store Restrictions
    Apps created on AppsGeyser may face restrictions or additional scrutiny when being submitted to app stores like Google Play and Appleโ€™s App Store.
  • Customer Support
    Customer support can be limited or slow, which may hinder troubleshooting and problem resolution.

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 AppsGeyser

Overall verdict

  • AppsGeyser can be a good option for those who need a simple and rapid app development solution, especially beginners or small businesses with limited budgets. However, for more complex apps or those requiring unique functionalities, a different platform or custom development might be more suitable.

Why this product is good

  • AppsGeyser is a platform that allows users to create Android apps without any coding knowledge. It offers a wide variety of templates and features, such as monetization options and analytics, making it an accessible and cost-effective solution for individuals and small businesses looking to quickly launch an app. However, it might have limitations when it comes to customization and scalability compared to custom-developed apps.

Recommended for

    AppsGeyser is recommended for individuals or small businesses who want to create basic Android apps quickly and without the need for coding skills. It's ideal for those looking for a cost-effective way to enter the mobile app space with straightforward applications such as blogs, information hubs, or small business apps.

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.

AppsGeyser videos

Good or Bad Making Android App From Appsgeyser | arunmaurya.net

More videos:

  • Review - Thunkable vs AppsGeyser Review and เค•เคฟเคคเคจเคพ Commission เคฒเฅ‡เคคเฅ€ เคนเฅˆ เคฏเคน Websites
  • Tutorial - HOW TO MAKE ANDROID APPS || AppsGeyser ANDROID APP MAKING TUTORIAL#ONLINE TECH DEGREE

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

Category Popularity

0-100% (relative to AppsGeyser and Plotly)
Mobile App Builder
100 100%
0% 0
Data Visualization
0 0%
100% 100
Development
100 100%
0% 0
Charting Libraries
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 AppsGeyser and Plotly

AppsGeyser Reviews

Best Mobile App Development Tools for Kids
If you want to just dip your toes into the app development field, then AppGeyser is a good place to start. Itโ€™s free, it requires no coding, and itโ€™s easy to use. Youโ€™re not going to create the next great app with this one, but you will be able to get something up quickly and easily for Android only thatโ€™s based on your website. The lack of iOS support is of course a big...
Source: codinghero.ai
Thunkable Alternatives with Advanced Options [Easy App Building]
Appsgeyser is a basic level tool which will help you to generate some specific Android and IOS apps automatically. Even you donโ€™t need to fill flow charts for app logics and functions. This fully automatic tool will allow you to create Apps in matter of minutes.
5 Best Thunkable Alternatives Free Apps Building Sites 2018
AppsGeyser offers the free and simple tool to create, download, distribute and monetize your app. This is one of the fastest app builder platforms in the world. Your app will be created in 5 minutes or less!

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 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.

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.

AppsGeyser mentions (0)

We have not tracked any mentions of AppsGeyser yet. Tracking of AppsGeyser recommendations started around Mar 2021.

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 AppsGeyser and Plotly, you can also consider the following products

Thunkable - Powerful but easy to use, drag-and-drop mobile app builder.

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.

BuildFire - BuildFire is the easiest way for small businesses to build a mobile app in a matter of minutes for iOS and Android.

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

Ionic - Ionic is a cross-platform mobile development stack for building performant apps on all platforms with open web technologies.

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.