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Plotly VS Event Viewer

Compare Plotly VS Event Viewer and see what are their differences

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Contents:
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  3. » Reviews
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Plotly logo Plotly

Low-Code Data Apps

Event Viewer logo Event Viewer

Get help, support, and tutorials for Windows products—Windows 10, Windows 8.1, Windows 7, and Windows 10 Mobile.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Event Viewer Landing page
    Landing page //
    2023-09-16

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.

Event Viewer features and specs

  • Comprehensive Logging
    Event Viewer provides detailed logs of system, security, and application events, enabling users to diagnose and troubleshoot issues effectively.
  • Centralized Management
    All logs are centralized in one tool, making it easy to access and manage different types of system events without switching between multiple applications.
  • Real-Time Monitoring
    Event Viewer supports real-time monitoring of events, allowing administrators to respond quickly to issues as they occur.
  • Search and Filtering
    The tool includes robust search and filtering capabilities, making it easy to find specific events or types of events among potentially large datasets.
  • Custom Views
    Users can create custom views to display specific types of events or logs, enhancing the ability to focus on relevant information.

Possible disadvantages of Event Viewer

  • Complexity
    The user interface and the amount of information displayed can be overwhelming for users who are not familiar with the tool, making it difficult to interpret the logged data.
  • Performance Impact
    Continuous logging and monitoring can consume system resources, potentially impacting overall system performance, especially in resource-constrained environments.
  • Limited Analysis Capabilities
    While Event Viewer is good for viewing logs, its analysis capabilities are limited, often requiring additional tools or expertise to fully diagnose complex issues.
  • Manual Effort
    Analyzing and managing logs in Event Viewer can be labor-intensive and may require manual effort to correlate events and identify patterns or root causes.
  • No Built-in Alerting
    Event Viewer does not have built-in alerting functionality, requiring integration with additional software or scripts to trigger alerts based on specific event conditions.

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.

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

Event Viewer videos

+ Add

Event Viewer & Windows Logs

More videos:

  • Tutorial - How to Use the Windows Event Viewer
  • Tutorial - How to use Event Viewer to fix your Windows 10 computer

Category Popularity

0-100% (relative to Plotly and Event Viewer)

Plotly

Event Viewer

Data Visualization
100 100%
Data Visualization
0% 0
Calculators
0 0%
Calculators
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Advanced Calculator
0 0%
Advanced Calculator
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 Event Viewer

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

Event Viewer Reviews

We have no reviews of Event Viewer yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Event Viewer. While we know about 33 links to Plotly, we've tracked only 2 mentions of Event Viewer. 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 (33)

  • 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 / 2 months 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 / 4 months 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 / 6 months 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 / 12 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

Event Viewer mentions (2)

  • How do I learn Windows from the ground up? My abilities stop at copy and paste, and new folder. How do I learn creating file paths, and anything else?
    You may start from here: Windows help & learning (microsoft.com). Source: about 2 years ago
  • I think my PC thinks it is supposed to be a remote desktop
    The link in the picture does nothing. It takes me to the front page for Microsoft Windows. Source: over 2 years ago

What are some alternatives?

When comparing Plotly and Event Viewer, 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.

Qalculate! - Qalculate! is a multiplatform multi-purpose desktop calculator.

Chart.js - Easy, object oriented client side graphs for designers and developers.

Double Commander - Double Commander is a cross-platform open source file manager with two panels side by side.

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

Total Commander - A Shareware file manager for Windows® 95/98/ME/NT/2000/XP/Vista/7, and Windows® 3.1.

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