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Plotly VS Azure DevOps

Compare Plotly VS Azure DevOps and see what are their differences

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

Plotly logo Plotly

Low-Code Data Apps

Azure DevOps logo Azure DevOps

Visual Studio dev tools & services make app development easy for any platform & language. Try our Mac & Windows code editor, IDE, or Azure DevOps for free.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Azure DevOps Landing page
    Landing page //
    2024-05-21

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.

Azure DevOps features and specs

  • Comprehensive Suite
    Azure DevOps offers a complete suite of tools for DevOps practices including Azure Repos, Azure Pipelines, Azure Boards, Azure Test Plans, and Azure Artifacts, making it a one-stop solution.
  • Scalability
    Azure DevOps is highly scalable, catering to organizations of all sizesโ€”from small startups to large enterprises.
  • Integrations
    Seamlessly integrates with numerous third-party tools and services, as well as other Microsoft products like Azure, making it highly flexible.
  • Customization
    Offers extensive customization options such as personalized dashboards, customized pipelines, and tailor-made workflows to suit specific project needs.
  • Cloud-Agility
    Being a cloud-based service, it offers the benefits of easy access, regular updates, and reduced need for maintenance.
  • Security
    Provides robust security features including role-based access control, auditing, and compliance with various industry standards.
  • Continuous Integration and Continuous Deployment (CI/CD)
    Supports end-to-end CI/CD processes, making it easier to automate builds, tests, and deployments.
  • Community and Support
    Large community of users and strong support from Microsoft, offering plenty of resources for troubleshooting and getting help.

Possible disadvantages of Azure DevOps

  • Complexity
    The rich feature set can be overwhelming for new users, requiring a steep learning curve.
  • Cost
    Can be expensive for small teams and organizations, particularly if advanced features and higher user limits are required.
  • Azure Dependency
    While it integrates well with other cloud providers, the full potential of Azure DevOps is best realized when used in conjunction with other Azure services.
  • Performance
    Users have reported occasional performance issues, particularly with complex pipelines or large repositories.
  • Limited Offline Capabilities
    As a cloud-based service, Azure DevOps offers limited capabilities when offline access is needed.
  • Usability
    Some users find the interface to be less intuitive compared to other DevOps tools in the market, requiring additional training and adaptation.

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.

Analysis of Azure DevOps

Overall verdict

  • Azure DevOps is a robust and versatile platform for managing software development. It is widely regarded as a strong choice for organizations seeking an integrated, end-to-end solution for DevOps practices. Its rich feature set and flexibility make it suitable for a wide array of projects and teams.

Why this product is good

  • Azure DevOps is considered good for several reasons. It provides a comprehensive suite of tools for managing the entire software development lifecycle, supporting continuous integration and continuous deployment (CI/CD), version control, project management, and collaboration. It integrates well with other popular development tools and services, including those from Microsoft and third parties. The platform is highly scalable, secure, and reliable, making it suitable for both small teams and large enterprises. Additionally, Azure DevOps supports multiple programming languages and frameworks, providing flexibility for diverse development needs.

Recommended for

  • Software development teams of all sizes
  • Organizations adopting DevOps practices
  • Enterprises looking for a scalable and secure platform
  • Teams requiring integration with other Microsoft services
  • Projects needing support for multiple programming languages and frameworks
  • Development environments that benefit from a comprehensive ALM solution

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

Azure DevOps videos

+ Add

The Top 5 BEST VSTs of 2018

More videos:

  • Review - Agile with Visual Studio Team Services
  • Review - Introduction to Azure DevOps
  • Review - Visual Studio Team Services vs Team Foundation Server
  • Review - Should You Buy Purity VST still ? "Top 5 BEST VSTs of 2020"
  • Review - Azure DevOps Project, is it Worth it?
  • Review - Pull Requests in Azure DevOps
  • Review - Git with Visual Studio Team Services

Category Popularity

0-100% (relative to Plotly and Azure DevOps)

Plotly

Azure DevOps

Data Visualization
100 100%
Data Visualization
0% 0
Continuous Integration
0 0%
Continuous Integration
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Project Management
0 0%
Project Management
100% 100

User comments

Share your experience with using Plotly and Azure DevOps. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and Azure DevOps

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

Azure DevOps Reviews

Top 7 GitHub Alternatives You Should Know (2024)
Azure DevOps is a cloud-based platform from Microsoft that offers a suite of tools and features for the entire software development lifecycle.
Source: snappify.com
Top 10 Most Popular Jenkins Alternatives for DevOps in 2024
Azure Pipelines tightly integrates with GitHub to display pipeline statuses in your PRs, run jobs automatically in response to repository events, and automatically deploy your projects. The solution is also extensible with custom tasks and integrations, making it a good fit for teams that need to retain Jenkinsโ€™ customization capabilities but want a managed service thatโ€™s...
Source: spacelift.io

Social recommendations and mentions

Based on our record, Azure DevOps should be more popular than Plotly. It has been mentiond 105 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.

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 / 5 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

Azure DevOps mentions (105)

View more

What are some alternatives?

When comparing Plotly and Azure DevOps, you can also consider the following products

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.

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

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

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

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.

Travis CI - Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CIโ€™s precision syntaxโ€”all with the developer in mind.

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