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Plotly VS CloudYali.io

Compare Plotly VS CloudYali.io and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Plotly logo Plotly

Low-Code Data Apps

CloudYali.io logo CloudYali.io

CoPilot for your cloud teams, your cloud in a single window.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • CloudYali.io Landing page
    Landing page //
    2023-05-17

CloudYali helps you to manage Security compliance, Cost and Resource inventory in a single place. Try it for free today! Bring instant visibility across multiple accounts and regions in one place. Now get visibility into cloud resources such as EC2 instances, S3 buckets, IAM users, and many more. Our continuous compliance feature evaluates your cloud against CIS AWS Benchmark Control v1.5.0 and AWS Foundational Security Best Practices Controls. View and manage cloud cost across cloud estate in a single window.

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.

CloudYali.io features and specs

  • Continuous Security Compliance
  • Cloud Resource Inventory
  • Resource Change History
    A simple visual way to filter and view all your cloud configuration changes
  • Cloud Query
    Find resources you are looking for with their attributes or with AWS tags. No coding required.
  • Cost Reporting

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 CloudYali.io

Overall verdict

  • CloudYali.io appears to be a cloud cost/security monitoring tool aimed at helping organizations track and optimize their cloud infrastructure, but as a lesser-known product it lacks extensive independent reviews, so due diligence is recommended before committing.

Why this product is good

  • Focuses on cloud visibility, which addresses a real and common pain point for organizations using AWS, Azure, or GCP
  • Likely offers a simpler, more affordable alternative to larger enterprise platforms like CloudHealth or Datadog
  • May provide quicker setup and easier onboarding compared to more complex enterprise tools
  • Niche or specialized tools like this often provide more focused feature sets for specific cloud management needs

Recommended for

  • Small to medium-sized businesses looking for an affordable cloud monitoring solution
  • Startups needing basic cloud cost visibility without enterprise-level complexity
  • Teams wanting to evaluate a newer tool before committing to established, pricier platforms
  • Organizations with straightforward single or multi-cloud setups rather than highly complex hybrid environments

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

CloudYali.io videos

+ Add

Continuous AWS Security Compliance with CloudYali

More videos:

  • Demo - Simplifying AWS Resources Inventory in single window with CloudYali

Category Popularity

0-100% (relative to Plotly and CloudYali.io)

Plotly

CloudYali.io

Data Visualization
100 100%
Data Visualization
0% 0
FinOps
0 0%
FinOps
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Cloud Infrastructure
0 0%
Cloud Infrastructure
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 Plotly and CloudYali.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

CloudYali.io Reviews

We have no reviews of CloudYali.io yet.
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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.

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

CloudYali.io mentions (0)

We have not tracked any mentions of CloudYali.io yet. Tracking of CloudYali.io recommendations started around Mar 2022.

What are some alternatives?

When comparing Plotly and CloudYali.io, 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.

AWS Config - Cloud Monitoring

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

CloudQuery - CloudQuery enables you to assess, audit, and evaluate the configurations of your cloud assets.

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.

Steampipe - Steampipe: select * from cloud; The extensible SQL interface to your favorite cloud APIs select * from AWS, Azure, GCP, Github, Slack etc.

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