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Plotly VS Monkkee

Compare Plotly VS Monkkee and see what are their differences

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  3. » Reviews
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Plotly logo Plotly

Low-Code Data Apps

Monkkee logo Monkkee

Keep a private journal securely on the Internet – to provide a convenient user experience your...
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Monkkee Landing page
    Landing page //
    2023-07-29

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.

Monkkee features and specs

  • Privacy-focused
    Monkkee prioritizes user privacy by offering encrypted journaling where only the user can access their entries.
  • User-friendly Interface
    The platform offers a clean and intuitive interface, making it easy for users to navigate and write entries.
  • Cross-platform Compatibility
    Monkkee is web-based, allowing users to access their journals from any device with internet access.
  • No Ads
    The service is ad-free, providing a distraction-free environment for users to focus on their journaling.

Possible disadvantages of Monkkee

  • Limited Features
    Monkkee focuses on core journaling features and lacks some of the advanced features found in other journaling apps, such as multimedia support.
  • No Mobile App
    As of now, Monkkee does not offer a dedicated mobile app, which might be inconvenient for users who prefer using apps over a web platform.
  • Self-hosting Requirement for Offline Access
    For users who want offline access, Monkkee requires self-hosting, which can be technically challenging and not feasible for all users.
  • Subscription Cost
    While Monkkee offers free use, it relies on user donations, which some users may find less reliable for long-term service stability.

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

Monkkee videos

+ Add

Journal Monkkee

Category Popularity

0-100% (relative to Plotly and Monkkee)

Plotly

Monkkee

Data Visualization
100 100%
Data Visualization
0% 0
Note Taking
0 0%
Note Taking
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Office & Productivity
0 0%
Office & Productivity
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 Monkkee

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

Monkkee Reviews

  1. premalatha
    Most secure journal app, easy to use and free

    Monkkee is so secure that the entries can be read only by you. If you lost the password it is lost forever. No one has access to even your password. It provides client side encryption i.e the entries are encrypted even before they are transferred to the server. It is easy to use. You can categorize your diary entries using tags.

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 33 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 (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 / 3 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 / 5 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

Monkkee mentions (0)

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

What are some alternatives?

When comparing Plotly and Monkkee, 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.

The Guide - The Guide is a two-pane outliner - a program that allows you to arrange text notes in a tree-like...

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

Idea Notebook - Idea Notebook is an app that allows you to keep track of your logs business ideas and track as well as organize them.

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

RunaBook - RunaBook is a lightweight application that lets you create and organize notes, knowledge bases, and daily routines.

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