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Plotly VS pekwm

Compare Plotly VS pekwm and see what are their differences

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Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
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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

pekwm logo pekwm

pekwm is a window manager that once up on a time was based on the aewm++ window manager, but it has...
  • Plotly Landing page
    Landing page //
    2023-07-31
  • pekwm Landing page
    Landing page //
    2023-04-22

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.

pekwm features and specs

  • Lightweight
    pekwm is designed to be a lightweight window manager, making it ideal for systems with limited resources or for users who prefer a minimalistic setup.
  • Highly Customizable
    It offers a high degree of customization, allowing users to tailor the appearance and behavior of the window manager to fit their needs.
  • Tabbing Support
    pekwm includes support for window tabbing, enabling users to group windows together in a single frame, which can enhance workspace organization and efficiency.
  • Efficient Resource Use
    Due to its simplicity and optimized design, pekwm uses minimal system resources, resulting in fast performance even on older hardware.

Possible disadvantages of pekwm

  • Steep Learning Curve
    The customization capabilities, while extensive, can be complex for new users who are not familiar with editing configuration files manually.
  • Limited Community Support
    pekwm does not have as large a user base or community support compared to more popular window managers, which can make finding help or resources more challenging.
  • Lack of Development Updates
    Compared to more actively maintained projects, pekwm receives updates less frequently, which can mean slower response to bugs or lack of new features.
  • No Built-in Compositor
    pekwm lacks a built-in compositor, which can limit graphical effects and require additional setup for those who want advanced visual features like transparency.

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

pekwm videos

+ Add

Manjaro PekWM Review

More videos:

  • Review - Obscure Window Manager Project - PekWM
  • Review - Pekwm

Category Popularity

0-100% (relative to Plotly and pekwm)

Plotly

pekwm

Data Visualization
100 100%
Data Visualization
0% 0
Window Manager
0 0%
Window Manager
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Tool
0 0%
Tool
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 pekwm

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

pekwm Reviews

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

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 / 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

pekwm mentions (0)

We have not tracked any mentions of pekwm yet. Tracking of pekwm recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and pekwm, 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.

Compiz - Project information. Maintainer: PS Project Management Team. Driver: Compiz Maintainers. Licence: GNU GPL v2, GNU LGPL v2. 1, MIT / X / Expat Licence.

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

Fences - Keep your desktop organized with Fences. This is a simple software program that allows you to sort the tabs on your desktop and create files that are easily recognizable to you.

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.

IceWM - icewm home page . Bug Tracking. If you have a patch, a bug report or a feature request to submit, please do so at the icewm project page at SourceForge.

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