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AWS CloudFormation VS Plotly

Compare AWS CloudFormation VS Plotly and see what are their differences

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Contents:
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  3. » Reviews
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AWS CloudFormation logo AWS CloudFormation

AWS CloudFormation gives developers and systems administrators an easy way to create and manage a...

Plotly logo Plotly

Low-Code Data Apps
  • AWS CloudFormation Landing page
    Landing page //
    2023-03-22
  • Plotly Landing page
    Landing page //
    2023-07-31

AWS CloudFormation features and specs

  • Infrastructure as Code
    CloudFormation allows you to define your infrastructure using code or templates, promoting version control, reviewability, and collaborative planning.
  • Automated Provisioning
    It automates the provisioning and updating of infrastructure, reducing the manual intervention required and minimizing human errors.
  • Consistency and Repeatability
    Ensures consistent configurations by deploying the same template multiple times across different environments, eliminating configuration drift.
  • Integration with Other AWS Services
    Tightly integrated with other AWS services, allowing for comprehensive infrastructure management, security policies, monitoring and logging.
  • Scalability and Flexibility
    Facilitates easy scaling and modifying of resources according to the application requirements without significant downtime.

Possible disadvantages of AWS CloudFormation

  • Complexity
    Large templates can become complex and difficult to manage, making troubleshooting and updating challenging.
  • Learning Curve
    Requires time and effort to learn and master, especially for newcomers to AWS or Infrastructure as Code (IaC) concepts.
  • Limited Cross-Platform Support
    Primarily tailored for AWS services, with limited support for managing infrastructure on other cloud platforms.
  • State Management
    Managing the state of your infrastructure can be complex, as creating or updating resources is highly dependent on the current state of your stack.
  • Debugging Issues
    Error messages and stack traces can sometimes be cryptic, making it difficult to pinpoint the exact cause of deployment failures.

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 AWS CloudFormation

Overall verdict

  • Good

Why this product is good

  • AWS CloudFormation can be a powerful tool for managing infrastructure as code, allowing you to model and set up your Amazon Web Services resources so that you can spend less time managing those resources and more time focusing on your applications. It provides a consistent, repeatable process for provisioning infrastructure, improves change management, enhances resource tracking, and reduces the possibility of human errors. Additionally, it integrates seamlessly with other AWS services and enables the deployment of infrastructure through code, which can be version controlled, tested, and automated.

Recommended for

  • Organizations that heavily utilize AWS services and wish to manage resources through a codified approach
  • Software teams that implement CI/CD pipelines and require infrastructure code to be included in those pipelines
  • DevOps teams striving for automation, consistency, and scalability in their cloud infrastructure management
  • Developers and IT professionals who need to manage complex infrastructures or regularly spin up and tear down environments

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.

AWS CloudFormation videos

+ Add

What is AWS Cloudformation? Pros and Cons?

More videos:

  • Demo - AWS CloudFormation Tutorial | AWS CloudFormation Demo | AWS Tutorial | AWS Training | Edureka
  • Tutorial - AWS CloudFormation Template Tutorial

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 AWS CloudFormation and Plotly)

AWS CloudFormation

Plotly

DevOps Tools
100 100%
DevOps Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Continuous Integration
100 100%
Continuous Integration
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 AWS CloudFormation and Plotly

AWS CloudFormation Reviews

5 Best DevSecOps Tools in 2023
There are multiple providers for Infrastructure as Code such as AWS CloudFormation, RedHat Ansible, HashiCorp Terraform, Puppet, Chef, and others. It is advised to research each to determine what is best for any given situation since each has pros and cons. Some of these also are not completely free while others are. There are also some that are specific to a particular...
Source: devopsauthority.tech
Do not use AWS CloudFormation
CloudFormation being a layer of indirection makes it difficult to work with in multi-region/multi-account scenarios. With CloudFormation you have to create Stack Sets and IAM policies that allow the CloudFormation service to impersonate other roles. The prerequisite steps you have to take to use CloudFormation across multiple accounts also must be taken just to have...
Source: gswallow.medium.com
Why we use Terraform and not Chef, Puppet, Ansible, SaltStack, or CloudFormation
Of course, there are downsides to declarative languages too. Without access to a full programming language, your expressive power is limited. For example, some types of infrastructure changes, such as a rolling, zero-downtime deployment, are hard to express in purely declarative terms. Similarly, without the ability to do “logic” (e.g. if-statements, loops), creating...
Source: blog.gruntwork.io

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 that’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, AWS CloudFormation should be more popular than Plotly. It has been mentiond 129 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.

AWS CloudFormation mentions (129)

  • Dynamic Looping Comes to AWS SAM
    AWS SAM CLI, the command-line tool for building and deploying serverless applications, now supports AWS CloudFormation Language Extensions. The one I am most excited about is Fn::ForEach, which brings dynamic looping to your YAML templates, but it's close. If you, like me, have been copy-pasting resource definitions to infinity, that stops today. - Source: dev.to / 4 months ago
  • AWS CloudFormation Drift Detection & Remediation Guide
    AWS CloudFormation is an IaC service that helps users automate, scale, and manage their environments efficiently. On the other hand, GitOps has become one of the standard ways of ensuring the IaC configuration stored in code repositories is deployed live on the correct systems. - Source: dev.to / 8 months ago
  • Announcing AWS CDK Mixins: Composable Abstractions for AWS Resources
    The AWS Cloud Development Kit (CDK) is an open-source software development framework for defining cloud infrastructure in code and provisioning it through AWS CloudFormation. It contains pre-written modular and reusable cloud components known as constructs. Constructs are the basic building blocks representing one or more AWS CloudFormation resources and their configuration. - Source: dev.to / 9 months ago
  • Top 12 Puppet Alternatives for Automation
    Website: https://aws.amazon.com/cloudformation/. - Source: dev.to / 10 months ago
  • From Code to Cloud in Minutes: How AWS Amplify Supercharges Modern App Development
    When you deploy a cloud sandbox, Amplify creates an AWS CloudFormation stack following the naming convention of amplify--<$(whoami)>-sandbox in your AWS account with the resources configured in your amplify/ folder. - Source: dev.to / about 1 year 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 / 6 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!🤓
    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 / almost 2 years 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 AWS CloudFormation and Plotly, you can also consider the following products

AWS Lambda - Automatic, event-driven compute service

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.

Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.

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

Bamboo - Bamboo is a continuous integration and deployment tool that ties automated builds, tests and releases together in a single workflow.

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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