Software Alternatives, Accelerators & Startups

Visual Studio App Center VS Plotly

Compare Visual Studio App Center VS Plotly and see what are their differences

Visual Studio App Center logo Visual Studio App Center

Continuous everything โ€“ build, test, deploy, engage, repeat

Plotly logo Plotly

Low-Code Data Apps
  • Visual Studio App Center Landing page
    Landing page //
    2022-04-24
  • Plotly Landing page
    Landing page //
    2023-07-31

Visual Studio App Center features and specs

  • Comprehensive Services
    App Center provides a wide range of services including build, test, distribute, and monitor apps, making it a one-stop solution for app lifecycle management.
  • Multi-platform Support
    Supports iOS, Android, Windows, and macOS apps, allowing developers to manage all their apps in one place regardless of the platform.
  • Continuous Integration/Continuous Deployment (CI/CD)
    Offers robust CI/CD pipelines that streamline the development process, helping teams release new features, updates, and bug fixes more efficiently.
  • Automated Testing
    Enables automated UI tests on real devices in the cloud, ensuring that apps function correctly on any device before they are released.
  • Crash Reporting and Analytics
    Provides detailed crash reports and user analytics to help developers understand user behavior and improve app performance.
  • Easy Integration
    Integrates seamlessly with popular version control systems like GitHub, Bitbucket, and Azure Repos, simplifying the workflow for developers.
  • Push Notifications
    Supports sending push notifications to users, helping app owners keep their audience engaged with the latest updates and features.

Possible disadvantages of Visual Studio App Center

  • Cost
    While there is a free tier with limited usage, many advanced features require a paid subscription, which can be expensive for small teams or individual developers.
  • Learning Curve
    Though the platform is powerful, it can have a steep learning curve for new users, especially those not familiar with CI/CD practices.
  • Performance
    Some users have reported performance issues, particularly with the build service, which can sometimes be slow or experience downtime.
  • Limited Customization
    The level of customization for certain features and workflows can be limited compared to other CI/CD tools, potentially restricting advanced users.
  • Platform-specific Limitations
    While multi-platform support is a pro, some advanced features might not be available for all platforms or might work differently, causing inconsistency.
  • Dependency on Microsoft Ecosystem
    Tightly integrated with Microsoft's ecosystem, which might not be ideal for teams using other toolchains and platforms, causing partial or complete lock-in.

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 Visual Studio App Center

Overall verdict

  • Overall, Visual Studio App Center is a robust platform that provides a comprehensive suite of tools for mobile app development. Its integration with existing development workflows and extensive support across multiple platforms makes it a good choice for developers looking to enhance productivity and efficiency in their app development process.

Why this product is good

  • Visual Studio App Center is considered good because it offers a wide range of features that help developers streamline their mobile app development processes. It provides an all-in-one service for continuous integration, delivery, and testing. App Center supports building apps in different platforms like iOS, Android, and Windows, and integrates seamlessly with various version control systems such as GitHub, Bitbucket, and Azure DevOps. Additionally, it offers features like automated UI testing, real-time analytics, and crash reporting, which aid in improving app quality and user experience.

Recommended for

    Visual Studio App Center is recommended for mobile app developers who require a scalable solution for continuous integration, delivery, and testing. It's particularly useful for teams that develop cross-platform applications and need a unified platform to manage builds, distributions, and monitoring. Developers who are already using Microsoft's ecosystem or those who prefer a cloud-based development environment will find App Center to be especially beneficial.

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.

Visual Studio App Center videos

Visual Studio App Center

More videos:

  • Review - Xamarin University Presents: Ship Better Apps with Visual Studio App Center
  • Tutorial - How to upload a Xamarin.UITest to Visual Studio App Center!

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 Visual Studio App Center and Plotly)
IDE
100 100%
0% 0
Data Visualization
0 0%
100% 100
Text Editors
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 Visual Studio App Center and Plotly

Visual Studio App Center 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.
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

Plotly might be a bit more popular than Visual Studio App Center. We know about 34 links to it since March 2021 and only 24 links to Visual Studio App Center. 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.

Visual Studio App Center mentions (24)

  • Build for IOS
    Appcenter will allow you to build your app for iOS and install on your device without submitting to the App Store. https://appcenter.ms/. Source: almost 3 years ago
  • Github file size limits
    We've been using app center for build distribution (https://appcenter.ms/). Source: about 3 years ago
  • A friend and I have spent way too much time sharing builds so we built this free tool!
    But, https://appcenter.ms/ and others like it are already available with generous free tiers and a lot more features (which you don't have to use, but can grow into), not to mention GitHub actions as others have noted. Does this advantages over existing, standard solutions? Source: about 3 years ago
  • Is there a service to let us run our app remotely on chosen hardware and monitor logging?
    There are lots of choices. Google android device testing. Offhand https://appcenter.ms comes to mind. Source: over 3 years ago
  • Using React Native for a cross-platform app, without a Mac
    You don t need a mac, use microsofts app center to build it. https://appcenter.ms. Source: over 3 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 Visual Studio App Center and Plotly, you can also consider the following products

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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.