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XWiki VS Plotly

Compare XWiki VS Plotly and see what are their differences

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

XWiki logo XWiki

A powerful Open Source collaborative platform enhancing collaboration and communication.

Plotly logo Plotly

Low-Code Data Apps
  • XWiki Landing page
    Landing page //
    2022-01-21
  • Plotly Landing page
    Landing page //
    2023-07-31

XWiki features and specs

  • Open Source
    XWiki is an open-source platform, which means it is free to use and has a community of developers continuously improving it.
  • Extensibility
    The platform is highly extensible with a wide range of plugins and macros, making it customizable based on user needs.
  • Collaboration Features
    Supports collaborative editing, real-time notifications, and workflow management, enhancing team productivity.
  • Flexible Permissions
    Provides detailed permission management, allowing administrators to control access at various levels (page, space).
  • Structured Data Management
    Allows users to create applications within the wiki to manage structured data efficiently.
  • Version Control
    Includes versioning capabilities, enabling users to track changes and revert to previous versions when necessary.
  • Multilingual Support
    Offers support for multiple languages, making it suitable for global teams.
  • Integration
    Capable of integrating with various third-party applications and services, like LDAP, Active Directory, and more.

Possible disadvantages of XWiki

  • Complex Setup
    Initial installation and configuration can be complex and time-consuming, especially for non-technical users.
  • Learning Curve
    Due to its extensive features and capabilities, new users might face a steep learning curve.
  • Resource Intensive
    Can be resource-intensive, requiring significant server resources to run efficiently, particularly for large installations.
  • Limited Hosting Options
    While there is a cloud offering (XWiki Cloud), users may find fewer hosting options compared to other popular wiki solutions.
  • User Interface
    The user interface, while functional, may not be as modern or intuitive as some newer wiki platforms.
  • Community Support
    While there is a community support system, it might not be as robust as commercial support options available with other platforms.
  • Documentation Quality
    Some users may find the official documentation lacking in certain areas, making troubleshooting harder.
  • Upgrades and Maintenance
    Regular upgrades and maintenance can be necessary to keep the system secure and up-to-date, which may be cumbersome for small teams without dedicated IT staff.

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 XWiki

Overall verdict

  • Yes, XWiki is a good option for those seeking a sophisticated and adaptable wiki solution that can be customized to meet specific needs. Its open-source nature allows for extensive customization and community-driven improvements.

Why this product is good

  • XWiki is a robust and flexible open-source wiki platform that offers powerful features for collaboration and knowledge management. It supports advanced features like scripting, data management, and a highly customizable user interface, making it suitable for both individual and enterprise use. Its compatibility with various databases and support for extensions further enhance its utility.

Recommended for

  • Organizations looking for a robust collaboration and documentation platform.
  • Teams that require extensive customization and integration capabilities.
  • Developers and IT professionals who prefer open-source solutions with community support.
  • Businesses seeking a platform for knowledge management and enterprise-level intranets.

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.

XWiki videos

+ Add

XWiki: a case study on managing corporate and community interests 14 years of Open Source in a Smalโ€ฆ

More videos:

  • Review - XWiki, a free, open source, self hosted Wiki that has all the features of Confluence at minimal cost
  • Review - From 0 to Intranet in 20 minutes with XWiki - Anca Luca

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 XWiki and Plotly)

XWiki

Plotly

WiKis
100 100%
WiKis
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Note Taking
100 100%
Note Taking
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using XWiki and Plotly. 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 XWiki and Plotly

XWiki Reviews

Top 12 Self-hosted Wiki Engines for 2024: A Comprehensive Guide
Developed in Java and licensed under LGPL, XWiki serves as a versatile platform for creating collaborative applications using the wiki paradigm. However, it is worth noting that its intricacy and the requirement for Java proficiency may pose certain challenges for less technically inclined users.
Source: medevel.com
The 10 Best Self-hosted Wiki Software for Linux System
XWiki is a mindblowing open source wiki software. It is a Java-based enterprise wiki software. It has many professional features such as File Management, Blog, Comments & Notes, and many more. There are many templates and more than 600 plugins available for XWiki. It also has a WYSIWYG editor similar to BookStack.
Source: www.ubuntupit.com
Best 11 Open-source Free Wiki Engines for teams and enterprise in 2022
XWiki is an open-source wiki engine for enterprise. It focuses on productivity, collaboration, and simplicity.
Source: medevel.com
The Best 20 Wiki Software For Your Business& Internal Knowledge for 2022
XWiki is an advanced open-source wiki software used by small organizations as well as large firms to create first-generation and second-generation wikis. While the first generation wikis are majorly for content collaboration, the latter are for blogs, forums, and task management. With over 600 extensions, themes, and macros, XWiki helps you succeed in creating wonderful wikis.
Source: www.proprofskb.com
17 open source wiki engine/software
Xwiki is a fully-featured open Source Wiki engine and Content-Oriented Application Platform for the Enterprise. Itโ€™s also a second generation wiki software offering the ability to install and develop small applications inside wiki pages and it also offer both a generic platform for developing collaborative applications using the wiki paradigm and products developed on top of...
Source: gadgetxplore.com

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

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.

XWiki mentions (0)

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

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

What are some alternatives?

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

DokuWiki - DokuWiki is a simple to use and highly versatile Open Source wiki software that doesn't require a database.

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.

MediaWiki - MediaWiki is a free software wiki package written in PHP, originally for use on Wikipedia.

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

Confluence - Confluence is content collaboration software that changes how modern teams work

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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