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Wekan VS Plotly

Compare Wekan VS Plotly and see what are their differences

Kanera
Plan work on flexible boards, connect projects through Global Work and Portfolio, and keep reporting, notes, automation, API, and AI access together. sponsored
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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Wekan logo Wekan

The open-source Trello-like kanban (built with Meteor)

Plotly logo Plotly

Low-Code Data Apps
  • Wekan Landing page
    Landing page //
    2023-04-17
  • Plotly Landing page
    Landing page //
    2023-07-31

Wekan features and specs

  • Open Source
    Wekan is an open-source project, meaning the community can contribute to its development, customization, and improvement. This ensures transparency and adaptability to specific needs.
  • Self-Hosted
    Wekan can be self-hosted, giving organizations full control over their data and deployment environment. This is crucial for maintaining privacy and security standards.
  • Collaborative Features
    It provides various collaborative features like real-time notifications, task assignments, and commenting, facilitating effective team collaboration and project management.
  • Kanban Board Interface
    Wekan uses an intuitive Kanban board interface which is easy to understand and helps in visualizing tasks and workflow processes effectively.
  • Customizable
    Highly customizable to fit different workflows and project management styles. Users can create custom fields, swimlanes, and labels to better organize their tasks.

Possible disadvantages of Wekan

  • Limited Integrations
    Compared to other project management tools, Wekan offers fewer integrations with third-party services, which can limit its functionality for users who rely on external apps.
  • Performance Issues
    Some users have reported performance issues, particularly with larger boards or datasets, which can slow down the workflow and user experience.
  • Lacks Advanced Features
    Wekan lacks some advanced project management features found in competitors like Jira or Trello, such as gantt charts, time tracking, and advanced reporting.
  • Installation Complexity
    Setting up a self-hosted Wekan instance can be complex for users who are not familiar with server management and command-line execution.
  • Maintenance Overhead
    Being self-hosted, Wekan requires regular maintenance, updates, and backups by the user, which can be resource-intensive for small teams or non-technical users.

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 Wekan

Overall verdict

  • Wekan is a good choice for individuals and teams looking for a straightforward, flexible, and cost-effective project management tool. However, its feature set may not be as extensive as some other commercial kanban tools, making it more suitable for simpler project management needs.

Why this product is good

  • Wekan is an open-source kanban board application that provides a simple and intuitive interface for managing tasks and projects. It supports collaboration, allowing multiple users to interact with the boards simultaneously. Since it's open-source, it can be customized and self-hosted, giving users complete control over their data and project management setup.

Recommended for

    Wekan is recommended for small to medium-sized teams, open source enthusiasts, and individuals who require a customizable and self-hosted solution for basic to moderately complex task management.

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.

Wekan videos

+ Add

Wekan Demo as an open source alternative to Trello

More videos:

  • Review - Wekan: The Open-Source Trello-like Kanban - Maxime Quandalle

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 Wekan and Plotly)

Wekan

Plotly

Project Management
100 100%
Project Management
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Task Management
100 100%
Task Management
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 Wekan and Plotly

Wekan Reviews

We have no reviews of Wekan yet.
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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

Wekan might be a bit more popular than Plotly. We know about 37 links to it since March 2021 and only 34 links to Plotly. 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.

Wekan mentions (37)

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 Wekan and Plotly, you can also consider the following products

Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.

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.

Todoist - Todoist is a to-do list that helps you get organized, at work and in life.

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

Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.

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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